Fundamentals of Neural Network: Architectures, Algorithms And Applications
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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