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.
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EAN: 9780262527019
UPC: 9780262527019
ISBN: 9780262527019
MPN: N/A
Book Title: Neural Smithing: Supervised Learning in Feedforwar
Item Length: 23.5 cm
Item Weight: 0.68 kg
Publisher: MIT Press Ltd
Publication Year: 1999
Subject: Computer Science
Item Height: 235 mm
Number of Pages: 360 Pages
Language: English
Publication Name: Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Type: Textbook
Author: Russell Reed, Robert J Marksii
Item Width: 191 mm
Format: Paperback
