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ORCIDNeurocomputing, 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 - Cheng-Lung 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 - José 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:
ANFISunfoldedintime 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 K. 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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