Neurocomputing, Volume 20

Volume 20, Number 1-3, August 1998

• Antti Saastamoinen, Timo Pietilä, Alpo Värri, Mikko Lehtokangas, Jukka Saarinen:
  Waveform detection with RBF network - Application to automated EEG analysis. 1-13
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• A. Jonathan Howell, Hilary Buxton:
  Learning identity with radial basis function networks. 15-34
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• Shlomo Geva, Kurt Malmstrom, Joaquin Sitte:
  Local cluster neural net: Architecture, training and applications. 35-56
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• Iulian B. Ciocoiu:
  Time series analysis using RBF networks with FIR/IIR synapses. 57-66
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• Mark R. Warnes, Jarmila Glassey, Gary A. Montague, Bo Kara:
  Application of radial basis function and feedforward artificial neural networks to the Escherichia coli fermentation process. 67-82
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• Fatiha Anouar, Fouad Badran, Sylvie Thiria:
  Probabilistic self-organizing map and radial basis function networks. 83-96
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• Guido Bugmann:
  Normalized Gaussian Radial Basis Function networks. 97-110
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• V. David Sánchez A., Shon Sloat, Joe Guerrero, David Shullo, Michael Lefebvre:
  The design of a real-time neurocomputer based on RBF networks. 111-114
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• Yih-Gong Lee, Jia-Hong Lee, Yuang-Cheh Hsueh:
  Texture classification using fuzzy uncertainty texture spectrum. 115-122
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• Perambur S. Neelakanta, Salahalddin T. Abusalah, Dolores F. De Groff, Joseph C. Park:
  Fuzzy nonlinear activity and dynamics of fuzzy uncertainty in the neural complex. 123-153
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• Paul L. Rosin, Freddy Fierens:
  The effects of data filtering on neural network learning. 155-162
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• Edward M. Corwin, Antonette M. Logar, William J. B. Oldham:
  A proof of the non-existence of a bounded-derivative continuous model for a discrete chaotic system. 163-171
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• Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus:
  Training wavelet networks for nonlinear dynamic input-output modeling. 173-188
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• Gasser Auda, Mohamed S. Kamel:
  CMNN: Cooperative Modular Neural Networks. 189-207
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• Nicolas Szilas, Claude Cadoz:
  Adaptive networks for physical modeling. 209-225
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• Ke Chen, Huisheng Chi:
  A method of combining multiple probabilistic classifiers through soft competition on different feature sets. 227-252
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• Sung-Suk Kim:
  Time-delay recurrent neural network for temporal correlations and prediction. 253-263
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• Mikko Lehtokangas, Jukka Saarinen:
  Weight initialization with reference patterns. 265-278
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• Isabelle Rivals, Léon Personnaz:
  A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models. 279-294
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• Rong-Jong Wai, Faa-Jeng Lin:
  A fuzzy neural network controller with adaptive learning rates for nonlinear slider-crank mechanism. 295-320
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• Léon Personnaz, Gérard Dreyfus: Comment on "Recurrent neural networks: A constructive algorithm, and its properties". 321-324 BibTeX
• Léon Personnaz, Gérard Dreyfus: Comment on "Discrete-time recurrent neural network architectures: A unifying review". 325-331 BibTeX