Neurocomputing, Volume 61

Volume 61, October 2004

• Ajith Abraham, Emilia I. Barakova, Ravi Jain, István Jónyer, Lakhmi C. Jain:
  Special issue on hybrid neurocomputing. 1-3
  
• Sin Wee Lee, Dominic Palmer-Brown, Chris M. Roadknight:
  Performance-guided neural network for rapidly self-organising active network management. 5-20
  
• C. L. Tseng, Y. H. Chen, Yeong-Yuh Xu, Hsiao-Tien Pao, Hsin-Chia Fu:
  A self-growing probabilistic decision-based neural network with automatic data clustering. 21-38
  
• Roshdy S. Youssif, Carla N. Purdy:
  Combining genetic algorithms and neural networks to build a signal pattern classifier. 39-56
  
• Ryo Saegusa, Hitoshi Sakano, Shuji Hashimoto:
  Nonlinear principal component analysis to preserve the order of principal components. 57-70
  
• Jose Aguilar:
  A color pattern recognition problem based on the multiple classes random neural network model. 71-83
  
• Cong Tran, Ajith Abraham, Lakhmi C. Jain:
  Decision support systems using hybrid neurocomputing. 85-97
  
• Krzysztof J. Cios, Waldemar Swiercz, William Jackson:
  Networks of spiking neurons in modeling and problem solving. 99-119
  
• Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
  Meta-learning approaches to selecting time series models. 121-137
  
• N. Arzu Sisman-Yilmaz, Ferda Nur Alpaslan, Lakhmi C. Jain:
  ANFIS_unfolded_in_time for multivariate time series forecasting. 139-168
  
• Frido Erler, Michael Meyer-Hermann, Gerhard Soff:
  A quantitative model for presynaptic free Ca²⁺ dynamics during different stimulation protocols. 169-191
  
• Radwan E. Abdel-Aal:
  Experimental evaluation of performance improvements in abductive network classifiers with problem decomposition. 193-215
  
• Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni:
  Single-layer artificial neural networks for gene expression analysis. 217-240
  
• Gongbing Shan, Ge Wu, Larry Haugh:
  A method to determine the interdependent relationships between biomechanical variables in artificial neural network models: the case of lower extremity muscle activity and body sway. 241-258
  
• Wenjian Wang, Zongben Xu:
  A heuristic training for support vector regression. 259-275
  
• Paul Andrew Watters:
  Coding distributed representations of natural scenes: a comparison of orthogonal and non-orthogonal models. 277-289
  
• Ken-ichi Amemori, Shin Ishii:
  Self-organization of delay lines by spike-time-dependent learning. 291-316
  
• Zhihua Xiong, Jie Zhang:
  Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. 317-337
  
• Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
  Complex RPROP-algorithm for neural network equalization of GSM data bursts. 339-360
  
• Kyung-Joong Kim, Sung-Bae Cho:
  Prediction of colon cancer using an evolutionary neural network. 361-379
  
• Georgios I. Papadimitriou, Athena Vakali, Andreas S. Pomportsis:
  A learning-automata-based controller for client/server systems. 381-394
  
• Huafu Chen, Dezhong Yao, Lan Yang:
  An extended convolution dynamic model of fMRI BOLD response. 395-400
  
• Jayadeva, Reshma Khemchandani, Suresh Chandra:
  Fast and robust learning through fuzzy linear proximal support vector machines. 401-411
  
• Jiahai Wang, Zheng Tang:
  An improved optimal competitive Hopfield network for bipartite subgraph problems. 413-419
  
• Nikolaos A. Laskaris, Spiros Fotopoulos:
  A novel training scheme for neural-network-based vector quantizers and its application in image compression. 421-427
  
• Pravin Chandra, Yogesh Singh:
  An activation function adapting training algorithm for sigmoidal feedforward networks. 429-437
  
• Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do:
  Artificial neural networks for non-stationary time series. 439-447
  
• Huaxiang Zhang, Shangteng Huang:
  Convergent gradient ascent with momentum in general-sum games. 449-454
  
• Junshui Ma, Ashok Krishnamurthy, Stanley C. Ahalt:
  SVM training with duplicated samples and its application in SVM-based ensemble methods. 455-459
  
• Zhenwei Shi, Huanwen Tang, Wenyu Liu, Yiyuan Tang:
  Blind source separation of more sources than mixtures using generalized exponential mixture models. 461-469
  
• Burkhard Lenze:
  Note on interpolation on the hypercube by means of sigma-pi neural networks. 471-478
  
• Dik Kin Wong, Marcos Perreau Guimaraes, E. Timothy Uy, Patrick Suppes:
  Classification of individual trials based on the best independent component of EEG-recorded sentences. 479-484
  
• Zhizheng Liang, Pengfei Shi:
  An efficient and effective method to solve kernel Fisher discriminant analysis. 485-493
  
• Javier Molina-Vilaplana, Juan L. Pedreño-Molina, Juan López Coronado:
  Hyper RBF model for accurate reaching in redundant robotic systems. 495-501
  
• Mingjun Zhong, Huanwen Tang, Yiyuan Tang:
  Expectation-Maximization approaches to independent component analysis. 503-512
  

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