This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th s

presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. T

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research