Neurocomputing, Volume 13

Volume 13, Number 1, September 1996

• Toru Kumagai, Ryoichi Hashimoto, Mitsuo Wada:
  Learning of limit cycles in discrete-time neural network. 1-10
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• Anneli Tikkala, Martti Juhola:
  A neural network simulation of aphasic naming errors: Network dynamics and control. 11-29
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• Guszti Bartfai:
  An ART-based modular architecture for learning hierarchical clusterings. 31-45
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• Jean M. Steppe, Kenneth W. Bauer Jr.:
  Improved feature screening in feedforward neural networks. 47-58
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• Michael T. Manry, Steven J. Apollo, Qiang Yu:
  Minimum mean square estimation and neural networks. 59-74
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• Amitava Datta:
  Computing minimum spanning circle by self-organization. 75-83
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Volume 13, Number 2-4, October 1996

• Nikola K. Kasabov:
  Adaptable neuro production systems. 95-117
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• Masahiro Nagamatu, Torao Yanaru:
  On the stability of Lagrange programming neural networks for satisfiability problems of propositional calculus. 119-133
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• Jacek M. Zurada, Ian Cloete, Etienne van der Poel:
  Generalized Hopfield networks for associative memories with multi-valued stable states. 135-149
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• Sung-Bae Cho:
  A neurocomputing framework: From methodologies to application. 151-170
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• Hiroshi Furukawa, Tohru Ueda, Masaharu Kitamura:
  A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks. 171-183
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• Gi J. Jeon, Insoo Lee:
  Neural network indirect adaptive control with fast learning algorithm. 185-199
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• Qiangfu Zhao, Tatsuo Higuchi:
  Efficient learning of NN-MLP based on individual evolutionary algorithm. 201-215
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• Yoshitake Yamazaki, Moyuru Ochiai, Arno Holz, Toshito Hara:
  Application of neural network algorithm to CAD of magnetic systems. 217-230
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• Kiyohiro Kurisu, Kazuo Fukuyama:
  Controlling public address systems based on fuzzy inference and neural network. 231-245
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• Uwe R. Zimmer:
  Robust world-modelling and navigation in a real world. 247-260
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• Elke Biebelmann, Mario Köppen, Bertram Nickolay:
  Practical applications of neural networks in texture analysis. 261-279
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• Jin Kyung Ryeu, Ho Sun Chung:
  Chaotic recurrent neural networks and their application to speech recognition. 281-294
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• Robert Kozma, Masatake Sakuma, Yoichi Yokoyama, Masaharu Kitamura:
  On the accuracy of mapping by neural networks trained by backpropagation with forgetting. 295-311
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• Monica Bianchini, Marco Gori:
  Optimal learning in artificial neural networks: A review of theoretical results. 313-346
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• Yoram Baram:
  Classification by balanced binary representation. 347-357
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• Alex Aussem, Fionn Murtagh, Marc Sarazin:
  Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network. 359-373
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• Pietro Burrascano, Dario Pirollo:
  Improved binary classification performance using an information theoretic criterion. 375-383
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