Artificial Neural Networks: Approximation and Learning Theory

by Halbert White

The re-emergence of network-based approaches to artificial intelligence has been accomplished by an explosion of research spanning a wide range of disciplines, among them cognitive science, computer science, biology, neuroscience, electrical engineering, psychology, econometrics, and philosophy. This collection of papers presents a rigorous mathematical analysis of the approximation and learning capabilities of the leading class of single hidden layer feedforward networks. Annotation copyright Book News, Inc. Portland, Or.

320 pages, Hardcover

First published January 1, 1992