Fundamentals of Neural Network: Architectures, Algorithms and Applications
1st - 1993
|PDF (28), DJVU (3)|
Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.
Table of Contents:
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.
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Labels: Neural Networks