Title: Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Publisher: MIT Press (MA)
Publication Date: 1999
Language: English
ISBN 10: 0262181908
ISBN 13: 9780262181907
Binding: Hardcover
Condition: Very Good
Dust Jacket Condition: No Jacket
Weight: 1.75 pounds

About this title

Synopsis

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition).

This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.

About the Author

Russell D. Reed is Research Assistant Professor of Electrical Engineering, and Robert J. Marks II is Professor of Electrical Engineering, both at the University of Washington.

"About this title" may belong to another edition of this title.

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