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The table of contents for Chapter 3 is as follows
3.1 Artificial Neural
Networks
3.2 Pattern Recognition
Ability of the McCulloch-Pitts PE
3.3 The Perceptron
3.4 One Hidden Layer
Multilayer Perceptrons
3.5 MLPs with Two Hidden
Layers
3.6 Training Static
Networks with the Backpropagation Procedure
3.7 Training Embedded
Adaptive Systems
3.8 MLPs as Optimal
Classifiers
3.9 Conclusions
3.10 NeuroSolutions
Examples
3.11 Exercises
3.12 Concept Map for
Chapter 3
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