Neural Processing Letters, Volume 24

Volume 24, Number 1, August 2006

• Haydemar Núñez, Cecilio Angulo, Andreu Català:
  Rule-Based Learning Systems for Support Vector Machines. 1-18
  Electronic Edition (link) BibTeX
• Jinwen Ma, Le Wang:
  BYY Harmony Learning on Finite Mixture: Adaptive Gradient Implementation and A Floating RPCL Mechanism. 19-40
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• Paulo Cortez, Manuel Portelinha, Sandra Rodrigues, Vasco Cadavez, Alfredo Teixeira:
  Lamb Meat Quality Assessment by Support Vector Machines. 41-51
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• Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
  Constrained Projection Approximation Algorithms for Principal Component Analysis. 53-65
  Electronic Edition (link) BibTeX
• Lei Chen, Songcan Chen:
  Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. 67-80
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• Michael Rimer, Tony Martinez:
  CB3: An Adaptive Error Function for Backpropagation Training. 81-92
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Volume 24, Number 2, October 2006

• 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
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• Mounir Ben Nasr, Mohamed Chtourou:
  A Hybrid Training Algorithm for Feedforward Neural Networks. 107-117
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• Kevin I. Hynna, Mauri Kaipainen:
  Activation-Based Recursive Self-Organising Maps: A General Formulation and Empirical Results. 119-136
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• Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi:
  A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. 137-151
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• Li Shang, Feng-Wen Cao:
  Adaptive Denoising Using a Modified Sparse Coding Shrinkage Method. 153-162
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• Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun:
  Hierarchical Incremental Class Learning with Reduced Pattern Training. 163-177
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• Chi-Sing Leung, Herbert Chan, Wai Ho Mow:
  Soft-Decoding SOM for VQ Over Wireless Channels. 179-192
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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
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• 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
  Electronic Edition (link) BibTeX
• Ali Gholipour, Babak Nadjar Araabi, Caro Lucas:
  Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. 217-239
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• J. Pucheta, H. Patiño, R. Fullana, C. Schugurensky, B. Kuchen:
  A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems. 241-260
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• Rigui Zhou, Nan Jiang, Qiulin Ding:
  Model and Training of QNN with Weight. 261-269
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• Toly Chen:
  A Hybrid SOM-BPN Approach to Lot Output Time Prediction in a Wafer Fab. 271-288
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