Neurocomputing, Volume 47

Volume 47, Number 1-4, August 2002

• Robert Andrews, Shlomo Geva:
  Rule extraction from local cluster neural nets. 1-20
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• Ninan Sajeeth Philip, K. Babu Joseph:
  Adaptive basis function for artificial neural networks. 21-34
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• Colin Fyfe, Donald MacDonald:
  epsilon-insensitive Hebbian learning. 35-57
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• Zong-Ben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong:
  An automata network for performing combinatorial optimization. 59-83
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• An-Chyau Huang, Yi-Fang Chiang:
  Function approximation using serial input neuron. 85-101
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• Gregory Allen Kohring:
  Artificial neurons with arbitrarily complex internal structures. 103-118
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• Darryl Charles, Colin Fyfe, Donald MacDonald, Jos Koetsier:
  Unsupervised neural networks for the identification of minimum overcomplete basis in visual data. 119-143
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• Luciano Boquete, Pedro Martín, Manuel Mazo, Ricardo García, Rafael Barea, Francisco Javier Rodríguez, Ignacio Fernández:
  Hardware implementation of a new neurocontrol wheelchair-guidance system. 145-160
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• Mohamed Tajine, David A. Elizondo:
  New methods for testing linear separability. 161-188
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• Edward Kei Shiu Ho, Lai-Wan Chan:
  Extracting error productions from a neural network-based LR parser. 189-206
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• A. Yazdizadeh, Khashayar Khorasani:
  Adaptive time delay neural network structures for nonlinear system identification. 207-240
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• Shree J. Paul Choudhury, Bijan Sarkar, S. K. Mukherjee:
  Forecasting of engineering manpower through fuzzy associative memory neural network with ARIMA: a comparative study. 241-257
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• Zong-Ming Li, Vladimir M. Zatsiorsky, Mark L. Latash, N. K. Bose:
  Anatomically and experimentally based neural networks modeling force coordination in static multi-finger tasks. 259-275
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• Enric T. Claverol, Andrew D. Brown, John E. Chad:
  Discrete simulation of large aggregates of neurons. 277-297
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• Witold Pedrycz:
  Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0. 299-300
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• Roman R. Poznanski:
  Introduction to Neural and Cognitive Modeling, 2nd edition, D.S. Levine; Lawrence Erlbaum, London, 2000, pp 491, ISBN 0-8058-2006-X. 301-302
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• Witold Pedrycz:
  Advances in Kernel Methods. Support Vector Learning, B. Scholkopf, C.J.C. Burges, A.J. Smola (Eds.); MIT Press, Cambridge, 1999, pp 376+vii, ISBN 0-262-19416-3. 303-304
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• Ljubo Vlacic:
  Learning and Soft Computing, Support Vector Machines, Neural Networks, and Fuzzy Logic Models, Vojislav Kecman; MIT Press, Cambridge, MA, 2001, ISBN 0-262-11255-8, 2001, pp 578. 305-307
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