## Volume 25,
Number 1-3,
April 1999

- Ignacio Santamaría, Marcelino Lázaro, Carlos Pantaleón, Jose A. García, Antonio Tazón, Angel Mediavilla:

**A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network.
**1-18

*Electronic Edition* (link) BibTeX
- Yoshikane Takahashi:

**Solving dynamic optimization problems with adaptive networks.
**19-38

*Electronic Edition* (link) BibTeX
- Lalit M. Patnaik, S. Udaykumar:

**Mapping adaptive resonance theory onto ring and mesh architectures.
**39-54

*Electronic Edition* (link) BibTeX
- Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran:

**A neural network training algorithm utilizing multiple sets of linear equations.
**55-72

*Electronic Edition* (link) BibTeX
- Yoram Baram:

**Bayesian classification by iterated weighting.
**73-79

*Electronic Edition* (link) BibTeX
- Vitaly Maiorov, Allan Pinkus:

**Lower bounds for approximation by MLP neural networks.
**81-91

*Electronic Edition* (link) BibTeX
- Jie Zhang:

**Developing robust non-linear models through bootstrap aggregated neural networks.
**93-113

*Electronic Edition* (link) BibTeX
- Siu-Yeung Cho, Tommy W. S. Chow:

**Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods.
**115-131

*Electronic Edition* (link) BibTeX
- Wen-Jyi Hwang, Bo-Yuan Ye, Shi-Chiang Liao:

**A novel entropy-constrained competitive learning algorithm for vector quantization.
**133-147

*Electronic Edition* (link) BibTeX
- Kie B. Eom:

**Fuzzy clustering approach in unsupervised sea-ice classification.
**149-166

*Electronic Edition* (link) BibTeX
- Gou-Jen Wang, Tsorng-Chi Chen:

**A robust parameters self-tuning learning algorithm for multilayer feedforward neural network.
**167-189

*Electronic Edition* (link) BibTeX
- Daniel W. C. Ho, James Lam, Jinhua Xu, Hei Ka Tam:

**Neural computation for robust approximate pole assignment.
**191-211

*Electronic Edition* (link) BibTeX
- Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal:

**Total least squares for block training of neural networks.
**213-217

*Electronic Edition* (link) BibTeX

Copyright © Sun May 17 00:02:57 2009
by Michael Ley (ley@uni-trier.de)