An Introduction to Neural Networks
Contents
I FUNDAMENTALS
1 Introduction
2 Fundamentals
II THEORY
3 Perceptron and Adaline
4 Back-Propagation
5 Recurrent Networks
5 Recurrent Networks
6 Self-Organizing Networks
7 Reinforcement learning
III APPLICATIONS
8 Robot Control
9 Vision
IV IMPLEMENTATIONS
IV IMPLEMENTATIONS
10 General Purpose Hardware
11 Dedicated Neuro-Hardware
