Freeman - Neural Networks Algorithms Applications Programming Techniques

Neural Networks: Algorithms, Applications, and Programming Techniques (Computation and Neural Systems Series)
by James A. Freeman, David M. Skapura

Chapter 1. Introduction to ANS Technology
Chapter 2. Adaline and Madaline
Chapter 3. Backpropagation
Chapter 4. The BAM and the Hopfield Memory
Chapter 5. Simulated Annealing: Networks discussed include the Boltzmann completion and input-output networks
Chapter 6. The Counterpropagation Network
Chapter 7. Self-Organizing Maps: includes the Kohonen topology-preserving map and the feature-map classifier
Chapter 8. Adaptive Resonance Theory: Networks discussed include both ART1 and ART2
Chapter 9. Spatiotemporal Pattern Classification: discusses Hecht-Nielsen's
spatiotemporal network
Chapter 10. The Neocognitron

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