
Mechatronics Volume 2
Concepts in Artifical Intelligence
Newnes (Publisher)
Published on 11. July 1995
Book
Paperback/Softback
312 pages
978-0-7506-2403-9 (ISBN)
Description
Mechatronics is the fusion of mechanics and electronics in the design of intelligent machines. This textbook is concerned with the concepts and techniques of artificial intelligence needed for the design of machines with advanced intelligent behaviour. It explores the topics of pattern recognition, neural networks, scheduling, reasoning, fuzzy logic, rule-based systems, machine learning, control and computer vision.This student guide shows how fifty years of research into artificial intelligence (AI) have borne fruit in the design of better and more intelligent machines. The twin objectives of the text are: to explain the theory of the mainstream ideas of AI and to show how these ideas can be applied in practical engineering situations.
Reviews / Votes
'This book has been successful in presenting some of the most important concepts and techniques of artificial intelligence required for the design and building of intelligent machines. This reviewer thoroughly enjoyed reading this book. The book will be an excellent addition to the very few books that have been published in this exciting and emerging field of mechatronics.'Mechatronics, March 1996More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Undergraduate and graduate students of mechatronics
Dimensions
Height: 246 mm
Width: 187 mm
Weight
1110 gr
ISBN-13
978-0-7506-2403-9 (9780750624039)
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

E-Book
07/1995
Elsevier
€54.95
Available for download
Persons
Content
Preface; Overview of Vol 2; Introduction; Pattern recognition; Search; Neural networks; Scheduling; Reasoning; Rule-based systems; Learning; Intelligent control; Computer vision; Integration; Acknowledgements; Index