Volume 61,
October 2004
Hybrid Neurocomputing:
Selected Papers from the 2nd International Conference on Hybrid Intelligent Systems
- Ajith Abraham, Emilia I. Barakova, Ravi Jain, István Jónyer, Lakhmi C. Jain:
Special issue on hybrid neurocomputing.
1-3
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- Sin Wee Lee, Dominic Palmer-Brown, Chris M. Roadknight:
Performance-guided neural network for rapidly self-organising active network management.
5-20
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- C. L. Tseng, Y. H. Chen, Yeong Y. Xu, Hsiao-Tien Pao, Hsin-Chia Fu:
A self-growing probabilistic decision-based neural network with automatic data clustering.
21-38
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- Roshdy S. Youssif, Carla N. Purdy:
Combining genetic algorithms and neural networks to build a signal pattern classifier.
39-56
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- Ryo Saegusa, Hitoshi Sakano, Shuji Hashimoto:
Nonlinear principal component analysis to preserve the order of principal components.
57-70
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- Jose Aguilar:
A color pattern recognition problem based on the multiple classes random neural network model.
71-83
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- Cong Tran, Ajith Abraham, Lakhmi C. Jain:
Decision support systems using hybrid neurocomputing.
85-97
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- Krzysztof J. Cios, Waldemar Swiercz, William Jackson:
Networks of spiking neurons in modeling and problem solving.
99-119
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- Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Meta-learning approaches to selecting time series models.
121-137
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- N. Arzu Sisman-Yilmaz, Ferda Nur Alpaslan, Lakhmi C. Jain:
ANFISunfoldedintime for multivariate time series forecasting.
139-168
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- Frido Erler, Michael Meyer-Hermann, Gerhard Soff:
A quantitative model for presynaptic free Ca2+ dynamics during different stimulation protocols.
169-191
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- Radwan E. Abdel-Aal:
Experimental evaluation of performance improvements in abductive network classifiers with problem decomposition.
193-215
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- Ajit Narayanan, Ed Keedwell, Jonas Gamalielsson, S. Tatineni:
Single-layer artificial neural networks for gene expression analysis.
217-240
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- 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
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- Wenjian Wang, ZongBen Xu:
A heuristic training for support vector regression.
259-275
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- Paul Andrew Watters:
Coding distributed representations of natural scenes: a comparison of orthogonal and non-orthogonal models.
277-289
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- Ken-ichi Amemori, Shin Ishii:
Self-organization of delay lines by spike-time-dependent learning.
291-316
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- Zhihua Xiong, Jie Zhang:
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network.
317-337
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- Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
Complex RPROP-algorithm for neural network equalization of GSM data bursts.
339-360
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- Kyung-Joong Kim, Sung-Bae Cho:
Prediction of colon cancer using an evolutionary neural network.
361-379
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- Georgios I. Papadimitriou, Athena Vakali, Andreas S. Pomportsis:
A learning-automata-based controller for client/server systems.
381-394
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- Huafu Chen, Dezhong Yao, Lan Yang:
An extended convolution dynamic model of fMRI BOLD response.
395-400
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- Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fast and robust learning through fuzzy linear proximal support vector machines.
401-411
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- Jiahai Wang, Zheng Tang:
An improved optimal competitive Hopfield network for bipartite subgraph problems.
413-419
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- Nikolaos A. Laskaris, Spiros Fotopoulos:
A novel training scheme for neural-network-based vector quantizers and its application in image compression.
421-427
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- Pravin Chandra, Yogesh Singh:
An activation function adapting training algorithm for sigmoidal feedforward networks.
429-437
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- Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do:
Artificial neural networks for non-stationary time series.
439-447
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- Huaxiang Zhang, Shangteng Huang:
Convergent gradient ascent with momentum in general-sum games.
449-454
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- Junshui Ma, Ashok Krishnamurthy, Stanley C. Ahalt:
SVM training with duplicated samples and its application in SVM-based ensemble methods.
455-459
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- Zhenwei Shi, Huanwen Tang, Wenyu Liu, Yiyuan Tang:
Blind source separation of more sources than mixtures using generalized exponential mixture models.
461-469
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- Burkhard Lenze:
Note on interpolation on the hypercube by means of sigma-pi neural networks.
471-478
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- 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
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- Zhizheng Liang, Pengfei Shi:
An efficient and effective method to solve kernel Fisher discriminant analysis.
485-493
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- Javier Molina-Vilaplana, Juan L. Pedreño-Molina, Juan López Coronado:
Hyper RBF model for accurate reaching in redundant robotic systems.
495-501
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- Mingjun Zhong, Huanwen Tang, Yiyuan Tang:
Expectation-Maximization approaches to independent component analysis.
503-512
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Copyright © Tue Nov 18 20:39:25 2008
by Michael Ley (ley@uni-trier.de)
