Robotics & Artificial Intelligence, Artificial Intelligence (AI), Mathematics, Mathematics, Robotics & Artificial Intelligence

Fuzzy Logic and Neural Network Handbook

Name: Fuzzy Logic and Neural Network Handbook
Author: C. H. Chen
ISBN: 9780070111899

by C. H. Chen (Editor)

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Overview

A centerpiece of the efforts to develop intelligent computer systems is the use of logic states between 0 and 1-fuzzy logic-and the neural networks with which they are closely linked. Here is the first comprehensive,practical treatment of this high-interest topic. For the first time in a single source,readers have access to algorithms,design guidelines,and examples of current applications-from signal processing and power systems to home appliance design and manufacturing. Featuring contributions from the top names in the field,this authoritative handbook is the essential reference on fuzzy logic-from its conceptual underpinnings,to nitty-gritty systems design issues,to its most exciting new breakthroughs.

Fuzzy logic and neural networks, which are linked, have emerged as the keystone of developing intelligent computer systems with broad application throughout engineering and science. Neural nets allow them to better manage uncertainty. That combination gives the ability to solve many classes of problems more efficiently. This book deals with principles and algorithms, applications and architectures and systems.

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Editorials

Booknews

A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation c. Book News, Inc., Portland, OR (booknews.com)