Neural networks and simulation methods
Author(s)
Bibliographic Information
Neural networks and simulation methods
（Electrical engineering and electronics, 87）
M. Dekker, c1994
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This work explains network dynamics, learning paradigms, and computational capabilities of feedforward, self-organization, and feedback neural network models-addressing specific problems such as data fusion and data modeling. It goes on to describe a neural network simulation software package - USTCNET and gives some segments of the program.
Table of Contents
- General concepts of pattern recognition
- feedforward neural networks
- feedforward neural networks for functional approximation
- applications of feedforward neural networks
- fuzzy neural networks
- competitive learning and self-organization
- adaptive self-organization
- associative memory
- optimization through neural networks.
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