
Neural Smithing
Supervised Learning in Feedforward Artificial Neural Networks
Bradford Books (Publisher)
Published on 17. February 1999
Book
Paperback/Softback
360 pages
978-0-262-52701-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Massachusetts
United States
Publishing group
MIT Press Ltd
Target group
Professional and scholarly
US School Grade: College Graduate Student and over
Product notice
Paperback (trade)
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 19 mm
Weight
672 gr
ISBN-13
978-0-262-52701-9 (9780262527019)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Russell Reed | Robert J. Marks
Neural Smithing
Supervised Learning in Feedforward Artificial Neural Networks
Book
02/1999
MIT Press
€19.83
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Persons
Russell Reed and Robert J MarksII