Journals in DBLP

Neural Networks
2004, volume: 17, number: 1

1. Stephen Grossberg, Mitsuo Kawato, John G. Taylor
   Another exciting year for the INNS/ENNS/JNNS journal! [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:1- [Journal]
   
2. Simon M. Stringer, Edmund T. Rolls, Thomas P. Trappenberg
   Self-organising continuous attractor networks with multiple activity packets, and the representation of space. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:5-27 [Journal]
   
3. R. J. C. Bosman, W. A. van Leeuwen, Bastian Wemmenhove
   Combining Hebbian and reinforcement learning in a minibrain model. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:29-36 [Journal]
   
4. Kunihiko Fukushima
   Neocognitron capable of incremental learning. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:37-46 [Journal]
   
5. Hongyong Zhao
   Global asymptotic stability of Hopfield neural network involving distributed delays. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:47-53 [Journal]
   
6. Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada
   Associative memory by recurrent neural networks with delay elements. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:55-63 [Journal]
   
7. Amit Bhaya, Eugenius Kaszkurewicz
   Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:65-71 [Journal]
   
8. Zong-Ben Xu, Hong Qiao, Jigen Peng, Bo Zhang
   A comparative study of two modeling approaches in neural networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:73-85 [Journal]
   
9. Jin Zhou, Zengrong Liu, Guanrong Chen
   Dynamics of periodic delayed neural networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:1, pp:87-101 [Journal]
   
10. Tomoyuki Kimoto, Masato Okada
    Mixed states on neural network with structural learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:103-112 [Journal]
    
11. Vladimir Cherkassky, Yunqian Ma
    Practical selection of SVM parameters and noise estimation for SVM regression. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:113-126 [Journal]
    
12. Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola
    Experimentally optimal v in support vector regression for different noise models and parameter settings. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:127-141 [Journal]
    
13. Brijnesh J. Jain, Fritz Wysotzki
    Discrimination networks for maximum selection. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:143-154 [Journal]