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Title:
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Patricia Melin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Oscar Castillo, Patricia Melin
    Intelligent Mathematical Modelling and Simulation of Robotic Dynamic Systems using a New Fuzzy-Fractal-Genetic Approach. [Citation Graph (0, 0)][DBLP]
    Annual Simulation Symposium, 1999, pp:112-117 [Conf]
  2. Oscar Castillo, Patricia Melin, Oscar Montiel, Roberto Sepúlveda
    Application Of A Breeder Genetic Algorithm For System Identification In An Adaptive Finite Impulse Response Filter. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2001, pp:146-156 [Conf]
  3. Oscar Castillo, Patricia Melin
    A New Theory of Fuzzy Chaos and Its Application for Simulation and Control of Robotic Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:151-154 [Conf]
  4. Patricia Melin, Oscar Castillo
    Adaptive Control of a Stepping Motor Drive Using a Hybrid Neuro-Fuzzy Approach. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:155-158 [Conf]
  5. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    The Evolutionary Learning Rule for System Identification in Adaptive Finite Impulse Filters. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:755-764 [Conf]
  6. Oscar Castillo, Luz Elena Cortez, Patricia Melin
    Plant Monitoring and Diagnostics Using Fuzzy Logic. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:207-213 [Conf]
  7. Oscar Castillo, Patricia Melin, Ricardo Palma, Edgar Noriega
    Parallel Processing of Genetic Algorithms and Neural Networks for Control. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2002, pp:1117-1122 [Conf]
  8. Patricia Melin, Maria Luisa Acosta, Cristina Felix
    Pattern Recognition Using Fuzzy Logic and Neural Networks. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:221-227 [Conf]
  9. Patricia Melin, Oscar Castillo, Alejandro Prieto
    Intelligent Control of Non-Linear Dynamic Plants Using Soft Computing. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2002, pp:1156-1162 [Conf]
  10. Patricia Melin, Felma Gonzalez, Gabriela Martinez
    Pattern Recognition Using Modular Neural Networks and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:77-83 [Conf]
  11. Patricia Melin, Jesus Gaxiola, Angeles Quezada, Oscar Castillo
    Evolution of Modular Neural Networks for System Identification. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:214-220 [Conf]
  12. Patricia Melin, Ileana Leal, Valente Ochoa, Luis Valenzuela, Daniel Clemente
    Modular Neural Networks and Fuzzy Sugeno Integrals for Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2005, pp:393-399 [Conf]
  13. Patricia Melin, Alejandra Mancilla, Claudia González, Diana Bravo
    Modular Neural Networks with Fuzzy Sugeno Integral Response Integration for Face and Fingerprint Recognition. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:91-97 [Conf]
  14. Patricia Melin, Margarita Ramirez
    Intelligent Interface for Control of Non-Linear Plants. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2002, pp:1130-1136 [Conf]
  15. Olivia Mendoza, Gabriela Torres, Patricia Melin
    An Intelligent System for Modeling and Simulation with Modular Neural Networks. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2005, pp:406-411 [Conf]
  16. Oscar Montiel, Oscar Castillo, Patricia Melin, Antonio Rodríguez Díaz, Roberto Sepúlveda
    Evolutionary Non-Linear System Identification. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:84-90 [Conf]
  17. Oscar Montiel, Oscar Castillo, Patricia Melin, Antonio Rodríguez Díaz, Roberto Sepúlveda
    Reducing The Cycling Problem In Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2005, pp:426-434 [Conf]
  18. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    Interference Cancellation Using a Fuzzy Real Coded Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:228-234 [Conf]
  19. Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Antonio Rodríguez Díaz, Oscar Montiel
    A Simulink Model for Testing Uncertainty In Type-2 Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2005, pp:419-425 [Conf]
  20. Roberto Sepúlveda, Oscar Montiel, Patricia Melin
    Fuzzy Control Embedded in a CPLD for Testing Batteries. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2002, pp:1170-1176 [Conf]
  21. Roberto Sepúlveda, Patricia Melin, Edgar Zamudio, Oscar Montiel
    Fuzzy Control for Optimizing the Transmission Power in Cellular Phones. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:235-241 [Conf]
  22. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    Intelligent Control of Dynamic Population Size for Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:551-557 [Conf]
  23. Omar Blanchet, Martha Ramirez, Maribel Gutierrez, Jassiny Quintero, Alejandra Mancilla, Patricia Melin
    A Hybrid Approach with Modular Neural Networks and Fuzzy Logic for Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:591-597 [Conf]
  24. Arnulfo Alanis, Karim Ramirez, Oscar Castillo, Hector Arias, Patricia Melin
    Monitoring and Diagnostics with Intelligent Agents using Fuzzy Logic. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:571-577 [Conf]
  25. Oscar Castillo, Roberto Sepúlveda, Patricia Melin, Oscar Montiel
    Evolutionary Optimization of Interval Type-2 Membership Functions. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:558-564 [Conf]
  26. Jerica Urias, Daniel Solano, Miguel Soto, Miguel Lopez, Patricia Melin
    Type-2 Fuzzy Logic as a Method of Response Integration in Modular Neural Networks. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:584-590 [Conf]
  27. Oscar Castillo, Patricia Melin
    QUACONTRA: Quality Control Training in the Food Industry Using an Intelligent Tutor. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:835-844 [Conf]
  28. Oscar Castillo, Patricia Melin
    A New Theory of Fuzzy Chaos and Its application for Simulation of Robotic Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:149-152 [Conf]
  29. Patricia Melin, Oscar Castillo
    Intelligent Control of a Motor Drive Using a Hybrid Neuro-Fuzzy Approach. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:549-552 [Conf]
  30. Oscar Montiel, Roberto Sepúlveda, Oscar Castillo, Patricia Melin
    A Breeder Genetic Algorithm for Finite Impulse Filter Optimization. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:582-585 [Conf]
  31. Patricia Melin, Oscar Castillo
    A New Approach for Intelligent Control of Non-linear Dynamic Plants using Type-2 Fuzzy Logic and Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:90-95 [Conf]
  32. Leocundo Aguilar, Patricia Melin, Oscar Castillo
    Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:3, pp:209-219 [Journal]
  33. Patricia Melin, Oscar Castillo
    Adaptive intelligent control of aircraft systems with a hybrid approach combining neural networks, fuzzy logic and fractal theory. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:4, pp:353-362 [Journal]
  34. Oscar Castillo, Patricia Melin
    Special issue on soft computing for control of non-linear dynamical systems. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:4, pp:303-304 [Journal]
  35. Oscar Castillo, Patricia Melin
    Intelligent adaptive model-based control of robotic dynamic systems with a hybrid fuzzy-neural approach. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:4, pp:363-378 [Journal]
  36. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    The evolutionary learning rule for system identification. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:4, pp:343-352 [Journal]
  37. Leslie Astudillo, Oscar Castillo, Patricia Melin, Arnulfo Alanis, Jose Soria, Luis T. Aguilar
    Intelligent Control of an Autonomous Mobile Robot using Type-2 Fuzzy Logic. [Citation Graph (0, 0)][DBLP]
    Engineering Letters, 2006, v:13, n:2, pp:93-97 [Journal]
  38. Patricia Melin, Jerica Urias, Daniel Solano, Miguel Soto, Miguel Lopez, Oscar Castillo
    Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Engineering Letters, 2006, v:13, n:2, pp:108-116 [Journal]
  39. Roberto Sepúlveda, Patricia Melin, Antonio Rodriguez, Alejandra Mancilla, Oscar Montiel
    Analyzing the effects of the Footprint of Uncertainty in Type-2 Fuzzy Logic Controllers. [Citation Graph (0, 0)][DBLP]
    Engineering Letters, 2006, v:13, n:2, pp:138-147 [Journal]
  40. Oscar Castillo, Patricia Melin
    A hybrid fuzzy-fractal approach for time series analysis and plant monitoring. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:8, pp:751-765 [Journal]
  41. Oscar Castillo, Patricia Melin
    Preface to the special issue on soft computing for modeling, simulation, and control of nonlinear dynamical systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:2, pp:127-129 [Journal]
  42. Patricia Melin, Cristina Felix, Oscar Castillo
    Face recognition using modular neural networks and the fuzzy Sugeno integral for response integration. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:2, pp:275-29 [Journal]
  43. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    Black box evolutionary mathematical modeling applied to linear systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:2, pp:293-311 [Journal]
  44. Patricia Melin, Oscar Castillo
    Intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:142, n:1-4, pp:161-175 [Journal]
  45. Patricia Melin, Oscar Castillo
    Intelligent control of a stepping motor drive using an adaptive neuro-fuzzy inference system. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:170, n:2-4, pp:133-151 [Journal]
  46. Oscar Montiel, Oscar Castillo, Roberto Sepúlveda, Patricia Melin
    Application of a breeder genetic algorithm for finite impulse filter optimization. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:161, n:3-4, pp:139-158 [Journal]
  47. Patricia Melin, Oscar Castillo
    An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:7, pp:1543-1557 [Journal]
  48. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
    Application of a breeder genetic algorithm for filter optimization. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2005, v:4, n:1, pp:11-37 [Journal]
  49. Oscar Castillo, Patricia Melin
    Automated mathematical modelling, simulation and behavior identification of robotic dynamic systems using a new fuzzy-fractal-genetic approach. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1999, v:28, n:1, pp:19-30 [Journal]
  50. Oscar Castillo, Patricia Melin, Vladik Kreinovich
    Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05. [Citation Graph (0, 0)][DBLP]
    Reliable Computing, 2006, v:12, n:3, pp:247-251 [Journal]
  51. Patricia Melin, Oscar Castillo
    A new method for adaptive model-based control of non-linear dynamic plants using a neuro-fuzzy-fractal approach. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2001, v:5, n:2, pp:171-177 [Journal]
  52. Patricia Melin, Oscar Castillo
    Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy approach. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:8, pp:546-555 [Journal]
  53. Oscar Castillo, Leonardo Trujillo, Patricia Melin
    Multiple Objective Genetic Algorithms for Path-planning Optimization in Autonomous Mobile Robots. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:3, pp:269-279 [Journal]
  54. Olivia Mendoza, Patricia Melin, Oscar Castillo, Guillermo Licea
    Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition. [Citation Graph (0, 0)][DBLP]
    IFSA, 2007, pp:604-612 [Conf]
  55. Oscar Montiel, Roberto Sepúlveda, Patricia Melin, Oscar Castillo, Miguel Angel Porta Garcia, Iliana Marlen Meza Sanchez
    Performance of a Simple Tuned Fuzzy Controller and a PID Controller on a DC Motor. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:531-537 [Conf]
  56. Oscar Castillo, Patricia Melin
    Special Issue on Hybrid Intelligent Systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:10, pp:1997-1998 [Journal]
  57. Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Antonio Rodríguez Díaz, Oscar Montiel
    Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:10, pp:2023-2048 [Journal]
  58. Oscar Montiel, Oscar Castillo, Patricia Melin, Antonio Rodríguez Díaz, Roberto Sepúlveda
    Human evolutionary model: A new approach to optimization. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:10, pp:2075-2098 [Journal]

  59. A Method for Response Integration in Modular Neural Networks using Interval Type-2 Fuzzy Logic. [Citation Graph (, )][DBLP]


  60. An Interval Type-2 Fuzzy Logic Toolbox for Control Applications. [Citation Graph (, )][DBLP]


  61. Evolutionary Optimization of Interval Type-2 Membership Functions Using the Human Evolutionary Model. [Citation Graph (, )][DBLP]


  62. Backpropagation learning with a (1+1) ES. [Citation Graph (, )][DBLP]


  63. A Method for Creating Ensemble Neural Networks Using a Sampling Data Approach. [Citation Graph (, )][DBLP]


  64. Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition. [Citation Graph (, )][DBLP]


  65. Comparison of Hybrid Intelligent Systems, Neural Networks and Interval Type-2 Fuzzy Logic for Time Series Prediction. [Citation Graph (, )][DBLP]


  66. Pattern Recognition for Industrial Monitoring and Security using the Fuzzy Sugeno Integral and Modular Neural Networks. [Citation Graph (, )][DBLP]


  67. A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems. [Citation Graph (, )][DBLP]


  68. Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method. [Citation Graph (, )][DBLP]


  69. An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks. [Citation Graph (, )][DBLP]


  70. Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic. [Citation Graph (, )][DBLP]


  71. Response integration in Ensemble Neural Networks using interval type-2 Fuzzy logic. [Citation Graph (, )][DBLP]


  72. Decentralized indirect adaptive Fuzzy-Neural Multi-Model control of a distributed parameter bioprocess plant. [Citation Graph (, )][DBLP]


  73. A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization. [Citation Graph (, )][DBLP]


  74. Computational intelligence software: Type-2 Fuzzy Logic and Modular Neural Networks. [Citation Graph (, )][DBLP]


  75. Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry. [Citation Graph (, )][DBLP]


  76. Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms: Preliminary Results. [Citation Graph (, )][DBLP]


  77. Optimization of Type-2 Fuzzy Integration in Modular Neural Networks Using an Evolutionary Method with Applications in Multimodal Biometry. [Citation Graph (, )][DBLP]


  78. Optimization of Type-2 Fuzzy Logic Controllers for Mobile Robots Using Evolutionary Methods. [Citation Graph (, )][DBLP]


  79. Interval type-2 fuzzy logic system to simulate the environment resources stochasticity inducing the population growth shape. [Citation Graph (, )][DBLP]


  80. A New Method for Edge Detection in Image Processing Using Interval Type-2 Fuzzy Logic. [Citation Graph (, )][DBLP]


  81. Type-2 Fuzzy Logic: Theory and Applications. [Citation Graph (, )][DBLP]


  82. Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks. [Citation Graph (, )][DBLP]


  83. Optimal Design of Type-2 Fuzzy Membership Functions Using Genetic Algorithms in a Partitioned Search Space. [Citation Graph (, )][DBLP]


  84. Interval Type-2 Fuzzy Logic Applications in Image Processing and Pattern Recognition. [Citation Graph (, )][DBLP]


  85. A New Evolutionary Method with a Hybrid Approach Combining Particle Swarm Optimization and Genetic Algorithms using Fuzzy Logic for Decision Making. [Citation Graph (, )][DBLP]


  86. The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection. [Citation Graph (, )][DBLP]


  87. Pattern Recognition in Blur Motion Noisy Images using Fuzzy Methods for Response Integration in Ensemble Neural Networks. [Citation Graph (, )][DBLP]


  88. Fuzzy Logic Adaptation of a Hybrid Evolutionary Method for Pattern Recognition. [Citation Graph (, )][DBLP]


  89. Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification. [Citation Graph (, )][DBLP]


  90. Evolutionary Modeling Using A Wiener Model. [Citation Graph (, )][DBLP]


  91. Modular Neural Networks and Fuzzy Sugeno Integral for Face and Fingerprint Recognition. [Citation Graph (, )][DBLP]


  92. Preface to the special issue on soft computing for time series prediction. [Citation Graph (, )][DBLP]


  93. A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting. [Citation Graph (, )][DBLP]


  94. Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation. [Citation Graph (, )][DBLP]


  95. Interval type-2 fuzzy logic and modular neural networks for face recognition applications. [Citation Graph (, )][DBLP]


  96. Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection. [Citation Graph (, )][DBLP]


  97. Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS. [Citation Graph (, )][DBLP]


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