Volume 24, Number 1, August 2006

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  Haydemar Núñez, Cecilio Angulo, Andreu Català: Rule-Based Learning Systems for Support Vector Machines. 1-18
• 
  Jinwen Ma, Le Wang: BYY Harmony Learning on Finite Mixture: Adaptive Gradient Implementation and A Floating RPCL Mechanism. 19-40
• 
  Paulo Cortez, Manuel Portelinha, Sandra Rodrigues, Vasco Cadavez, Alfredo Teixeira: Lamb Meat Quality Assessment by Support Vector Machines. 41-51
• 
  Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki: Constrained Projection Approximation Algorithms for Principal Component Analysis. 53-65
• 
  Lei Chen, Songcan Chen: Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. 67-80
• 
  Michael Rimer, Tony R. Martinez: CB3: An Adaptive Error Function for Backpropagation Training. 81-92

Volume 24, Number 2, October 2006

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  Kai-Chi Leung, Suk-Ling Li, L. M. Cheng, Chi-Kwong Chan: A Symmetric Probabilistic Encryption Scheme Based On CHNN Without Data Expansion. 93-105
• 
  Mounir Ben Nasr, Mohamed Chtourou: A Hybrid Training Algorithm for Feedforward Neural Networks. 107-117
• 
  Kevin I. Hynna, Mauri Kaipainen: Activation-Based Recursive Self-Organising Maps: A General Formulation and Empirical Results. 119-136
• 
  Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi: A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. 137-151
• 
  Li Shang, Feng-Wen Cao: Adaptive Denoising Using a Modified Sparse Coding Shrinkage Method. 153-162
• 
  Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun: Hierarchical Incremental Class Learning with Reduced Pattern Training. 163-177
• 
  Chi-Sing Leung, Herbert Chan, Wai Ho Mow: Soft-Decoding SOM for VQ Over Wireless Channels. 179-192

Volume 24, Number 3, December 2006

• 
  Libin Rong, Tianping Chen: New Results on the Robust Stability of Cohen-Grossberg Neural Networks with Delays. 193-202
• 
  A. Hazzab, I. K. Bousserhane, M. Zerbo, P. Sicard: Real Time Implementation of Fuzzy Gain Scheduling of PI Controller for Induction Motor Machine Control. 203-215
• 
  Ali Gholipour, Babak Nadjar Araabi, Caro Lucas: Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. 217-239
• 
  Julian Pucheta, Hector D. Patiño, R. Fullana, Carlos Schugurensky, Benjamín R. Kuchen: A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems. 241-260
• 
  Rigui Zhou, Nan Jiang, Qiulin Ding: Model and Training of QNN with Weight. 261-269
• 
  Toly Chen: A Hybrid SOM-BPN Approach to Lot Output Time Prediction in a Wafer Fab. 271-288

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