Fundamentals of Neural Networks : Architectures, Algorithms and Applications

An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understanding with many examples.

An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understudy with many examples.

1. Introduction.
2. Simple Neural Nets for Pattern Classification.
3. Pattern Association.
4. Neural Networks Based on Competition.
5. Adaptive Resonance Theory.
6. Backpropagation Neural Net.
7. A Sampler of Other Neural Nets.
Glossary.
References.
Index.