Volume 19, Number 1, 2004

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  Min-Ling Zhang, Zhi-Hua Zhou: Improve Multi-Instance Neural Networks through Feature Selection. 1-10
• 
  Pablo A. Estévez, Yoichi Okabe: On the Computational Power of Max-Min Propagation Neural Networks. 11-23
• 
  Sergio Bermejo, Joan Cabestany: Ensemble Learning for Chemical Sensor Arrays. 25-35
• 
  Raffaele Calabretta, Andrea Di Ferdinando, Domenico Parisi: Ecological Neural Networks for Object Recognition and Generalization. 37-48
• 
  Ting Qin, Zonghai Chen, Haitao Zhang, Sifu Li, Wei Xiang, Ming Li: A Learning Algorithm of CMAC Based on RLS. 49-61
• 
  Koji Tsuda, Shinsuke Uda, Taishin Kin, Kiyoshi Asai: Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. 63-72
• 
  Hongjian Liu, Hongya Tuo, Yuncai Liu: Rough Neural Network of Variable Precision. 73-87

Volume 19, Number 2, 2004

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  Huilin Ye, Hanchang Liu: A Fuzzy-Related Thesaurus for Query Refinement. 97-107
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  Jean-François Kamp, Franck Poirier, Philippe Doignon: Interaction with In-Vehicle Electronic Systems: A Complete Description of a Neural Network Approach. 109-129
• 
  Changyin Sun, Chun-Bo Feng: Exponential Periodicity of Continuous-time and Discrete-Time Neural Networks with Delays. 131-146
• 
  Richard Walker, Vincenzo Russo: Memory Consolidation and Forgetting During Sleep: A Neural Network. 147-156
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  Nikolaos Ampazis, Stavros J. Perantonis: LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections. 157-173

Volume 19, Number 3, June 2004

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  Armando M. Fernandes, Andrei B. Utkin, Alexander V. Lavrov, Rui M. Vilar: Neural Network Based Recognition of Smoke Signatures from Lidar Signals. 175-189
• 
  Sunghwan Sohn, Cihan H. Dagli: Ensemble of Evolving Neural Networks in Classification. 191-203
• 
  Mehmet Kerem Müezzinoglu, Cüneyt Güzelis: Associative Memory Design via Path Embedding into a Graph. 205-209
• 
  Chenn-Jung Huang, Wei-Chen Liao: Application of Probabilistic Neural Networks to the Class Prediction of Leukemia and Embryonal Tumor of Central Nervous System. 211-226
• 
  Richard K. K. Yuen, Eric W. M. Lee, Chee Peng Lim, Grace W. Y. Cheng: Fusion of GRNN and FA for Online Noisy Data Regression. 227-241

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