Understanding Neural Networks - The Experimenter's Guide is an introductory text to artificial neural networks. The book begins with examining biological neurons in the human brain and defining their real world mathematical and electronic equivalent.
Building upon this foundation the book contains hardware and software projects that illustrate neural networks. Hardware projects include a op-amp neuron that tracks a light source, speech recognition system, and machine vision system.
Software projects include a Perceptron program and Back-Propagation networks.
This book provides a comprehensive introduction to neural networks.