1. Introduction -- 2. The Perceptron -- 3. Linear Autoassociative Memories -- 4. Linear Heteroassociative Memories -- 5. Error Backpropagation -- 6. Useful References
Summary
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modeling methods in widespread use
