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ORCIDNeurocomputing, 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 - A. Jonathan Howell, Hilary Buxton:
Learning identity with radial basis function networks. 15-34 - Shlomo Geva, Kurt Malmstrom, Joaquin Sitte:
Local cluster neural net: Architecture, training and applications. 35-56 - Iulian B. Ciocoiu:
Time series analysis using RBF networks with FIR/IIR synapses. 57-66 - 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 - Fatiha Anouar, Fouad Badran, Sylvie Thiria:
Probabilistic self-organizing map and radial basis function networks. 83-96 - Guido Bugmann:
Normalized Gaussian Radial Basis Function networks. 97-110 - 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 - Yih-Gong Lee, Jia-Hong Lee, Yuang-Cheh Hsueh:
Texture classification using fuzzy uncertainty texture spectrum. 115-122 - 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 - Paul L. Rosin, Freddy Fierens:
The effects of data filtering on neural network learning. 155-162 - 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 - Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus:
Training wavelet networks for nonlinear dynamic input-output modeling. 173-188 - Gasser Auda, Mohamed S. Kamel:
CMNN: Cooperative Modular Neural Networks. 189-207 - Nicolas Szilas, Claude Cadoz:
Adaptive networks for physical modeling. 209-225 - Ke Chen, Huisheng Chi:
A method of combining multiple probabilistic classifiers through soft competition on different feature sets. 227-252 - Sung-Suk Kim:
Time-delay recurrent neural network for temporal correlations and prediction. 253-263 - Mikko Lehtokangas, Jukka Saarinen:
Weight initialization with reference patterns. 265-278 - Isabelle Rivals, Léon Personnaz:
A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models. 279-294 - Rong-Jong Wai, Faa-Jeng Lin:
A fuzzy neural network controller with adaptive learning rates for nonlinear slider-crank mechanism. 295-320 - Léon Personnaz, Gérard Dreyfus:
Comment on "Recurrent neural networks: A constructive algorithm, and its properties". Neurocomputing 20(1-3): 321-324 (1998) - Léon Personnaz, Gérard Dreyfus:
Comment on "Discrete-time recurrent neural network architectures: A unifying review". Neurocomputing 20(1-3): 325-331 (1998)
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