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".
321-324
- Léon Personnaz, Gérard Dreyfus:
Comment on "Discrete-time recurrent neural network architectures: A unifying review".
325-331
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