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Conferences in DBLP

International Symposium on Neural Networks (isnn)
2006 (conf/isnn/2006-1)

  1. Si Wu, Jianfeng Feng, Shun-ichi Amari
    The Ideal Noisy Environment for Fast Neural Computation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1-6 [Conf]
  2. Xu-Dong Wang, Jiang Hao, Mu-Ming Poo, Xiao-Hui Zhang
    How Does a Neuron Perform Subtraction? Arithmetic Rules of Synaptic Integration of Excitation and Inhibition. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:7-14 [Conf]
  3. Jun Liu, Jian Wu, Zhengguo Lou, Guang Li
    Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:15-20 [Conf]
  4. Huafu Chen, Ling Zeng, Dezhong Yao, Qing Gao
    A Gaussian Dynamic Convolution Models of the FMRI BOLD Response. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:21-26 [Conf]
  5. Mingxiao Ding, Naigong Yu, Xiaogang Ruan
    Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:27-33 [Conf]
  6. Toshihiko Matsuka
    A Model of Category Learning with Attention Augmented Simplistic Prototype Representation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:34-40 [Conf]
  7. Toshihiko Matsuka, Arieta Chouchourelou
    On the Learning Algorithms of Descriptive Models of High-Order Human Cognition. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:41-49 [Conf]
  8. Rubin Wang, Jing Yu, Zhikang Zhang
    A Neural Model on Cognitive Process. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:50-59 [Conf]
  9. Zongben Xu, Jianjun Wang, Deyu Meng
    Approximation Bound of Mixture Networks in Lomegap Spaces. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:60-65 [Conf]
  10. Feng-jun Li, Zongben Xu
    Integral Transform and Its Application to Neural Network Approximation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:66-71 [Conf]
  11. Chunmei Ding, Feilong Cao, Zongben Xu
    The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:72-79 [Conf]
  12. Yong Fang, Tommy W. S. Chow
    Wavelets Based Neural Network for Function Approximation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:80-85 [Conf]
  13. Alejandro Cruz Sandoval, Wen Yu
    Passivity Analysis of Dynamic Neural Networks with Different Time-Scales. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:86-92 [Conf]
  14. Zhiguo Yang, Daoyi Xu, Yumei Huang
    Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:93-99 [Conf]
  15. Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada
    Convergence Analysis of Continuous-Time Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:100-108 [Conf]
  16. Weirui Zhao, Huanshui Zhang
    Global Convergence of Continuous-Time Recurrent Neural Networks with Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:109-114 [Conf]
  17. Xiaoxin Liao, Zhigang Zeng
    Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:115-121 [Conf]
  18. Yi Shen, Meiqin Liu, Xiaodong Xu
    Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:122-128 [Conf]
  19. Gang Wang, Huaguang Zhang, Chonghui Song
    New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:129-134 [Conf]
  20. Changyin Sun, Linfeng Li
    Dynamics of General Neural Networks with Distributed Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:135-140 [Conf]
  21. Shuyong Li, Yumei Huang, Daoyi Xu
    On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:141-146 [Conf]
  22. Hanlin He, Xiaoxin Liao
    Stability Analysis of Neutral Neural Networks with Time Delay. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:147-152 [Conf]
  23. Jianlong Qiu, Jinde Cao
    Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:153-158 [Conf]
  24. Wudai Liao, Zhongsheng Wang, Xiaoxin Liao
    Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:159-164 [Conf]
  25. Xuyang Lou, Baotong Cui
    Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:165-171 [Conf]
  26. Li Xie, Tianming Liu, Guodong Lu, Jilin Liu, Stephen T. C. Wong
    Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:172-178 [Conf]
  27. Jun Xu, Daoying Pi, Yong-Yan Cao
    Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:179-184 [Conf]
  28. Yongqing Yang
    Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:185-191 [Conf]
  29. Tianping Chen, Wenlian Lu
    Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:192-197 [Conf]
  30. Ce Ji, Huaguang Zhang, Chonghui Song
    LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:198-203 [Conf]
  31. Tianping Chen, Lili Wang, Changlei Ren
    Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen- Grossberg Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:204-210 [Conf]
  32. Li-qun Zhou, Guang-da Hu
    A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:211-216 [Conf]
  33. Weifan Zheng, Jiye Zhang, Weihua Zhang
    Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:217-223 [Conf]
  34. Wudai Liao, Yulin Xu, Xiaoxin Liao
    Exponential Stability of Delayed Stochastic Cellular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:224-229 [Conf]
  35. Chaojin Fu, Boshan Chen
    Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:230-235 [Conf]
  36. Jiye Zhang, Dianbo Ren, Weihua Zhang
    Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:236-242 [Conf]
  37. Tingwen Huang, Marco Roque-Sol
    Stability of Fuzzy Cellular Neural Networks with Impulses. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:243-248 [Conf]
  38. Xiaoxin Liao, Fei Xu, Pei Yu
    Absolute Stability of Hopfield Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:249-254 [Conf]
  39. Bingji Xu, Qun Wang
    Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:255-260 [Conf]
  40. Wei Zhu, Daoyi Xu
    Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:261-266 [Conf]
  41. Shengrui Zhang, Runnian Ma
    Convergence Analysis of Discrete Delayed Hopfield Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:267-272 [Conf]
  42. Minghui Jiang, Yi Shen, Xiaoxin Liao
    An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:273-278 [Conf]
  43. Hui Wang, Xiaofeng Liao, Chuandong Li, Degang Yang
    Existence of Periodic Solution of BAM Neural Network with Delay and Impulse. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:279-284 [Conf]
  44. Min Xiao, Jinde Cao
    On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:285-290 [Conf]
  45. Hong Qu, Zhang Yi
    Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:291-296 [Conf]
  46. Wentong Liao, Linshan Wang
    Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:297-302 [Conf]
  47. Jin Zhou, Tianping Chen, Xiang Lan, Meichun Liu
    Global Synchronization of Impulsive Coupled Delayed Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:303-308 [Conf]
  48. Ping Li
    Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:309-315 [Conf]
  49. Yan Huang, Xiao-Song Yang
    Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:316-321 [Conf]
  50. Hongwei Wang, Hong Gu
    Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:322-327 [Conf]
  51. Haigeng Luo, Xiaodong Xu, Xiaoxin Liao
    Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:328-333 [Conf]
  52. Guang-Hong Wang, Ping Jiang
    Autapse Modulated Bursting. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:334-343 [Conf]
  53. Guocheng Li, Shiji Song, Cheng Wu, Zifang Du
    A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:344-349 [Conf]
  54. Shiji Song, Guocheng Li, Xiaohong Guan
    Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:350-358 [Conf]
  55. Fuye Feng, Yong Xia, Quanju Zhang
    A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:359-368 [Conf]
  56. Qingshan Liu, Jun Wang, Jinde Cao
    A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:369-378 [Conf]
  57. Yao-qun Xu, Ming Sun, Guangren Duan
    Wavelet Chaotic Neural Networks and Their Application to Optimization Problems. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:379-384 [Conf]
  58. Ling Qin, Yixin Chen, Ling Chen, Yuan Yao
    A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:385-390 [Conf]
  59. Paulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner
    A New Neural Network Approach to the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:391-398 [Conf]
  60. Lijun Liu, Wei Wu
    Dynamical System for Computing Largest Generalized Eigenvalue. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:399-404 [Conf]
  61. Yiguang Liu, Zhisheng You
    A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:405-413 [Conf]
  62. Frank Emmert-Streib
    A Novel Stochastic Learning Rule for Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:414-423 [Conf]
  63. Deepak Mishra, Abhishek Yadav, Prem Kumar Kalra
    Learning with Single Quadratic Integrate-and-Fire Neuron. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:424-429 [Conf]
  64. Hongyu Li, I-Fan Shen
    Manifold Learning of Vector Fields. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:430-435 [Conf]
  65. Hongyu Li, I-Fan Shen
    Similarity Measure for Vector Field Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:436-441 [Conf]
  66. Jinwen Ma, Bin Cao
    The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:442-447 [Conf]
  67. Seongwon Cho, Jaemin Kim, Sun-Tae Chung
    Dynamic Competitive Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:448-455 [Conf]
  68. Jinwuk Seok, Seongwon Cho, Jaemin Kim
    Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:456-463 [Conf]
  69. Zhiwu Lu, Jinwen Ma
    A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:464-469 [Conf]
  70. Ah-Hwee Tan
    Self-organizing Neural Architecture for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:470-475 [Conf]
  71. SeungGwan Lee
    On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:476-481 [Conf]
  72. Lianwei Zhao, Siwei Luo, Mei Tian, Chao Shao, Hongliang Ma
    Combining Label Information and Neighborhood Graph for Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:482-488 [Conf]
  73. Liang Liu, Naigong Yu, Mingxiao Ding, Xiaogang Ruan
    A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:489-495 [Conf]
  74. Lei Guo, Hong Wang
    An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:496-501 [Conf]
  75. Toshinori Deguchi, Naohiro Ishii
    Delayed Learning on Internal Memory Network and Organizing Internal States. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:502-508 [Conf]
  76. Huawei Chen, Fan Jin
    A Novel Learning Algorithm for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:509-514 [Conf]
  77. He-Sheng Tang, Song-Tao Xue, Rong Chen
    On Hinfinity Filtering in Feedforward Neural Networks Training and Pruning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:515-523 [Conf]
  78. Jinhua Xu, Daniel W. C. Ho
    A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:524-529 [Conf]
  79. E. J. Teoh, C. Xiang, K. Cheng Tan
    A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:530-536 [Conf]
  80. Hai Zhao, Bao-Liang Lu
    A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:537-544 [Conf]
  81. Haixia Chen, Senmiao Yuan, Kai Jiang
    Selective Neural Network Ensemble Based on Clustering. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:545-550 [Conf]
  82. Songsong Li, Toshimi Okada, Xiaoming Chen, Zheng Tang
    An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:551-557 [Conf]
  83. Marco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu
    Training Cellular Neural Networks with Stable Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:558-563 [Conf]
  84. Yangmin Li, Xin Chen
    A New Stochastic PSO Technique for Neural Network Training. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:564-569 [Conf]
  85. Ben Niu, Yunlong Zhu, Xiaoxian He
    A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:570-576 [Conf]
  86. Haichang Gao, Boqin Feng, Yun Hou, Li Zhu
    Training RBF Neural Network with Hybrid Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:577-583 [Conf]
  87. Ming-Jung Seow, Vijayan K. Asari
    Robust Learning by Self-organization of Nonlinear Lines of Attractions. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:584-589 [Conf]
  88. Kai Zhang, Gen-Zhi Guan, Fang-Fang Chen, Lin Zhang, Zhi-Ye Du
    Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:590-598 [Conf]
  89. Kao-Shing Hwang, Yu-Jen Chen, Tzung-Feng Lin
    Q-Learning with FCMAC in Multi-agent Cooperation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:599-606 [Conf]
  90. Xuesong Wang, Yuhu Cheng, Wei Sun
    Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:607-615 [Conf]
  91. Haisheng Lin, Xiao Zhi Gao, Xianlin Huang, Zhuoyue Song
    A Fuzzy Neural Networks with Structure Learning. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:616-622 [Conf]
  92. Mariela Cerrada, Jose Aguilar, André Titli
    Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:623-630 [Conf]
  93. Fei Han, Tat-Ming Lok, Michael R. Lyu
    A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:631-636 [Conf]
  94. Jun-Seok Lim, Koeng-Mo Sung, Joonil Song
    Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:637-643 [Conf]
  95. You Xu, Yang Shu
    Evolutionary Extreme Learning Machine - Based on Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:644-652 [Conf]
  96. You Xu
    A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:653-658 [Conf]
  97. Jaehun Lee, Wooyong Chung, Euntai Kim
    A New Genetic Approach to Structure Learning of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:659-668 [Conf]
  98. Shoujue Wang, Singsing Liu, Wenming Cao
    Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:669-675 [Conf]
  99. Hong Yue, Aurelie J. A. Leprand, Hong Wang
    Output PDF Shaping of Singular Weights System: Monotonical Performance Design. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:676-682 [Conf]
  100. Yi Shen, Meiqin Liu, Xiaodong Xu
    Stochastic Time-Varying Competitive Neural Network Systems. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:683-688 [Conf]
  101. Dong-Chul Park, Duc-Hoai Nguyen, Song-Jae Lee, Yunsik Lee
    Heterogeneous Centroid Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:689-694 [Conf]
  102. Shuzhong Yang, Siwei Luo, Jianyu Li
    Building Multi-layer Small World Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:695-700 [Conf]
  103. Stones Lei Zhang, Zhang Yi, Jiancheng Lv
    Growing Hierarchical Principal Components Analysis Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:701-706 [Conf]
  104. Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee
    Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:707-713 [Conf]
  105. Yan-Peng Liu, Ming-Guang Wu, Ji-Xin Qian
    Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:714-722 [Conf]
  106. Dong-Sun Kim, Hyun-Sik Kim, Duck-Jin Chung
    A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:723-731 [Conf]
  107. Yunhui Liu, Siwei Luo, Ziang Lv, Hua Huang
    A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:732-738 [Conf]
  108. Zhu-Hong Zhang, Xin Tu, Chang-Gen Peng
    A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:739-746 [Conf]
  109. Ji-Xiang Du, Chuan-Min Zhai, Zeng-Fu Wang, Guo-Jun Zhang
    A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:747-751 [Conf]
  110. Ming Ma, Libiao Zhang, Jie Ma, Chunguang Zhou
    Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:752-761 [Conf]
  111. Sumitra Mukhopadhyay, Ajit K. Mandal
    Fuzzy Rule Extraction Using Robust Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:762-767 [Conf]
  112. Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn
    A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:768-773 [Conf]
  113. Sung-Kwun Oh, In-Tae Lee, Jeoung-Nae Choi
    Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:774-779 [Conf]
  114. Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
    A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:780-785 [Conf]
  115. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz
    Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:786-791 [Conf]
  116. Lei Zhang, Guoyou Wang, Wentao Wang
    A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:792-797 [Conf]
  117. Chang-Wook Han, Jung-Il Park
    Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:798-803 [Conf]
  118. Huaguang Zhang, Yanhong Luo, Derong Liu
    A New Fuzzy Identification Method Based on Adaptive Critic Designs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:804-809 [Conf]
  119. Wei-Hong Xu, Guo-Ping Chen, Zhong-Ke Xie
    Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:810-817 [Conf]
  120. Cornelio Yáñez-Márquez, Luis Pastor Sanchez Fernandez, Itzamá López-Yáñez
    Alpha-Beta Associative Memories for Gray Level Patterns. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:818-823 [Conf]
  121. Zhigang Zeng, Jun Wang
    Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:824-829 [Conf]
  122. Roy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao
    Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:830-836 [Conf]
  123. Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas
    Selecting Variables for Neural Network Committees. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:837-842 [Conf]
  124. Qingyu Xiong, Jian Huang, Xiaodong Xian, Qian Xiao
    An Adaptive Network Topology for Classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:843-848 [Conf]
  125. Emad A. M. Andrews Shenouda
    A Quantitative Comparison of Different MLP Activation Functions in Classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:849-857 [Conf]
  126. Eu Jin Teoh, Cheng Xiang, Kay Chen Tan
    Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:858-865 [Conf]
  127. Jiang Zhong, Chun Xiao Ye, Yong Feng, Ying Zhou, Zhong Fu Wu
    Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:866-872 [Conf]
  128. Yuehui Chen, Lizhi Peng, Ajith Abraham
    Hierarchical Radial Basis Function Neural Networks for Classification Problems. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:873-879 [Conf]
  129. Fang Liu, Jian-Zhong Zhou, Fang-Peng Qiu, Jun-Jie Yang
    Biased Wavelet Neural Network and Its Application to Streamflow Forecast. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:880-888 [Conf]
  130. Yanlai Li, Kuanquan Wang, Tao Li
    A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:889-894 [Conf]
  131. Zhou Yang, Wenjie Zhu, Liang Ji
    SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:895-902 [Conf]
  132. Haijun Li, Zheng-Xuan Wang, Limin Wang, Senmiao Yuan
    Flexible Neural Tree for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:903-908 [Conf]
  133. Lei Wang, Yinling Nie, Weike Nie, Licheng Jiao
    A Novel Model of Artificial Immune Network and Simulations on Its Dynamics. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:909-914 [Conf]
  134. Bo Chen, Hongwei Liu, Zheng Bao
    A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:915-921 [Conf]
  135. Bo Jin, Yan-Qing Zhang
    Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:922-927 [Conf]
  136. Luoqing Li, Chenggao Wan
    Support Vector Machines with Beta-Mixing Input Sequences. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:928-935 [Conf]
  137. Fangfang Wu, Yinliang Zhao
    Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:936-941 [Conf]
  138. Huihong Jin, Zhiqing Meng, Xuanxi Ning
    A Smoothing Multiple Support Vector Machine Model. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:942-948 [Conf]
  139. Hongbing Liu, Shengwu Xiong, Xiaoxiao Niu
    Fuzzy Support Vector Machines Based on Spherical Regions. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:949-954 [Conf]
  140. Marek Bundzel, Tomás Kasanický, Baltazár Frankovic
    Building Support Vector Machine Alternative Using Algorithms of Computational Geometry. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:955-961 [Conf]
  141. Shengfeng Tian, Shaomin Mu, Chuanhuan Yin
    Cooperative Clustering for Training SVMs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:962-967 [Conf]
  142. Xiaohong Wang, Sitao Wu, Xiaoru Wang, Qunzhan Li
    SVMV - A Novel Algorithm for the Visualization of SVM Classification Results. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:968-973 [Conf]
  143. Genting Yan, Guangfu Ma, Liangkuan Zhu
    Support Vector Machines Ensemble Based on Fuzzy Integral for Classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:974-980 [Conf]
  144. Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang
    An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:981-990 [Conf]
  145. Woo-Sung Kang, Ki Hong Im, Jin Young Choi
    SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:991-996 [Conf]
  146. Bo Liu, Xiaowei Yang, Zhifeng Hao
    Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:997-1003 [Conf]
  147. Jianhua Xu
    A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1004-1009 [Conf]
  148. Jingqing Jiang, Chuyi Song, Chunguo Wu, Yangchun Liang, Xiaowei Yang, Zhifeng Hao
    Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1010-1015 [Conf]
  149. Liangzhi Gan, Hai-kuan Liu, Youxian Sun
    Sparse Least Squares Support Vector Machine for Function Estimation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1016-1021 [Conf]
  150. Feng-Qing Han, Da-Cheng Wang, Chuan-Dong Li, Xiao-Feng Liao
    A Multiresolution Wavelet Kernel for Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1022-1029 [Conf]
  151. Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei
    Multi-scale Support Vector Machine for Regression Estimation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1030-1037 [Conf]
  152. Dong-Chul Park, Chung-Nguyen Tran, Sancho Park
    Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1038-1043 [Conf]
  153. Yun-Wei Pu, Ming Zhu, Wei-Dong Jin, Lai-Zhao Hu
    An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1044-1049 [Conf]
  154. En-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song
    Fuzzy Support Vector Clustering. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1050-1056 [Conf]
  155. Chengbo Wang, Chengan Guo
    An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1057-1062 [Conf]
  156. Zejian Yuan, Lei Yang, Yanyun Qu, Yuehu Liu, Xinchun Jia
    A Boosting SVM Chain Learning for Visual Information Retrieval. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1063-1069 [Conf]
  157. Bo Wu, Liangpei Zhang, Pingxiang Li, Jinmu Zhang
    Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1070-1075 [Conf]
  158. Li Sun, Ling Jing, Xiaodong Xia
    A New Proximal Support Vector Machine for Semi-supervised Classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1076-1082 [Conf]
  159. Liefeng Bo, Ling Wang, Licheng Jiao
    Sparse Gaussian Processes Using Backward Elimination. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1083-1088 [Conf]
  160. Xunkai Wei, Yinghong Li, Yue Feng
    Comparative Study of Extreme Learning Machine and Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1089-1095 [Conf]
  161. Woong Myung Kim, Chan-Ho Park, Hyon-Soo Lee
    Multi-level Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1096-1102 [Conf]
  162. Tao Yu, Huai-Zong Shao, Qi-Cong Peng
    An ICA Learning Algorithm Utilizing Geodesic Approach. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1103-1108 [Conf]
  163. Gang Wang, Ni-ni Rao, Zhi-Lin Zhang, Quanyi Mo, Pu Wang
    An Extended Online Fast-ICA Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1109-1114 [Conf]
  164. Shangming Yang
    Gradient Algorithm for Nonnegative Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1115-1120 [Conf]
  165. Fasong Wang, Hongwei Li, Rui Li, Shaoquan Yu
    Unified Parametric and Non-parametric ICA Algorithm for Arbitrary Sources. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1121-1126 [Conf]
  166. Xiao-fei Shi, Ji-dong Suo, Chang Liu, Li Li
    A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1127-1132 [Conf]
  167. Gang Wang, Xin Xu, Dewen Hu
    Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1133-1139 [Conf]
  168. Mao Ye, Xue Li, Chengfu Yang, Zengan Gao
    Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1140-1146 [Conf]
  169. Ji-Min Ye, Shun-Tian Lou, Hai-Hong Jin, Xian-Da Zhang
    An Novel Algorithm for Blind Source Separation with Unknown Sources Number. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1147-1152 [Conf]
  170. Gaoming Huang, Luxi Yang, Zhenya He
    Blind Source Separation Based on Generalized Variance. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1153-1158 [Conf]
  171. Junying Zhang, Hongyi Zhang, Le Wei, Yue Joseph Wang
    Blind Source Separation with Pattern Expression NMF. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1159-1164 [Conf]
  172. Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok
    Nonlinear Blind Source Separation Using Hybrid Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1165-1170 [Conf]
  173. Xiaolu Li, Zhaoshui He
    Identification of Mixing Matrix in Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1171-1176 [Conf]
  174. Wenqiang Guo, Tianshuang Qiu, Yuzhang Zhao, Daifeng Zha
    Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1177-1182 [Conf]
  175. Ronghua Li, Ming Xiao
    Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1183-1188 [Conf]
  176. Gaoming Huang, Yang Gao, Luxi Yang, Zhenya He
    Application of Blind Source Separation to Five-Element Cross Array Passive Location. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1189-1194 [Conf]
  177. Hua Zhang, Dazhang Feng
    Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1195-1201 [Conf]
  178. Bin Xia, Liqing Zhang
    Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1202-1207 [Conf]
  179. Feng Jiang, Liqing Zhang, Bin Xia
    Two-Stage Blind Deconvolution for V-BLAST OFDM System. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1208-1213 [Conf]
  180. Xuelei Hu, Lei Xu
    A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1214-1221 [Conf]
  181. Ping Ling, Chunguang Zhou
    Adaptive Support Vector Clustering for Multi-relational Data Mining. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1222-1230 [Conf]
  182. XuLei Yang, Qing Song, Meng-Joo Er
    Robust Data Clustering in Mercer Kernel-Induced Feature Space. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1231-1237 [Conf]
  183. Hyun-Chul Kim, Jaewook Lee
    Pseudo-density Estimation for Clustering with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1238-1243 [Conf]
  184. Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith
    Clustering Analysis of Competitive Learning Network for Molecular Data. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1244-1249 [Conf]
  185. Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith
    Self-Organizing Map Clustering Analysis for Molecular Data. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1250-1255 [Conf]
  186. Mao-ting Gao, Zheng-ou Wang
    A Conscientious Rival Penalized Competitive Learning Text Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1256-1260 [Conf]
  187. Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang
    Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1261-1266 [Conf]
  188. Jiabing Wang, Hong Peng, Jing-Song Hu, Jun Zhang
    Ensemble Learning for Keyphrases Extraction from Scientific Document. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1267-1272 [Conf]
  189. Yugang Fan, Ping Li, Zhi-Huan Song
    Grid-Based Fuzzy Support Vector Data Description. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1273-1279 [Conf]
  190. Yang Weon Lee
    Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1280-1285 [Conf]
  191. Dong Sun, Yong Deng
    Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1286-1292 [Conf]
  192. Junlin Zhou, Yan Fu
    Scientific Data Lossless Compression Using Fast Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1293-1298 [Conf]
  193. Xiu-Rong Zhao, Qing He, Zhongzhi Shi
    HyperSurface Classifiers Ensemble for High Dimensional Data Sets. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1299-1304 [Conf]
  194. Jen-Cheng Chen, Jia-Sheng Heh, Maiga Chang
    Designing a Decompositional Rule Extraction Algorithm for Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1305-1311 [Conf]
  195. Qutang Cai, Changshui Zhang
    Estimating Fractal Intrinsic Dimension from the Neighborhood. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1312-1318 [Conf]
  196. Junying Chen, Zheng Qin
    Dimensionality Reduction for Evolving RBF Networks with Particle Swarms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1319-1325 [Conf]
  197. Heyong Wang, Jie Zheng, Zheng-an Yao, Lei Li
    Improved Locally Linear Embedding Through New Distance Computing. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1326-1333 [Conf]
  198. Dongyue Chen, Liming Zhang
    An Incremental Linear Discriminant Analysis Using Fixed Point Method. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1334-1339 [Conf]
  199. Jun-Seok Lim, Joonil Song, Yonggook Pyeon
    A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1340-1345 [Conf]
  200. Junping Zhang, Chao Shen, Jufu Feng
    Classification with the Hybrid of Manifold Learning and Gabor Wavelet. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1346-1351 [Conf]
  201. Xizhao Wang, Hui Zhang
    A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1352-1358 [Conf]
  202. Mohammed Attik
    Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1359-1366 [Conf]
  203. Yan Wu, Yang Yang
    A New Method for Feature Selection. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1367-1372 [Conf]
  204. Zongxia Xie, Qinghua Hu, Daren Yu
    Improved Feature Selection Algorithm Based on SVM and Correlation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1373-1380 [Conf]
  205. Ziqiang Wang, Dexian Zhang
    Feature Selection in Text Classification Via SVM and LSI. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1381-1386 [Conf]
  206. Qijun Zhao, Hongtao Lu, David Zhang
    Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1387-1393 [Conf]
  207. Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang
    Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1394-1399 [Conf]
  208. Gang Liu, Xi-Hai Li, Dai-Zhi Liu, Wei-Gang Zhai
    Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1400-1405 [Conf]
  209. Feng Zhu, Yafeng Hu, Xianda Zhang, Deguang Xie
    Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1406-1411 [Conf]
  210. Dong-hong Liu, Zhi-jie Chen, Wen-long Hu, Yong-shun Zhang
    Application of Self-organizing Feature Neural Network for Target Feature Extraction. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1412-1420 [Conf]
  211. Shi-Fei Ding, Zhong-Zhi Shi
    Divergence-Based Supervised Information Feature Compression Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1421-1426 [Conf]
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