Intelligent Systems for Engineers and Scientists Third Edition 3rd Edition

This book PDF is perfect for those who love Engineering genre, written by Adrian Hopgood and published by Unknown which was released on 28 March 2024 with total hardcover pages 451. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Intelligent Systems for Engineers and Scientists Third Edition 3rd Edition books below.

Intelligent Systems for Engineers and Scientists  Third Edition  3rd Edition
Author : Adrian Hopgood
File Size : 53,6 Mb
Publisher : Unknown
Language : English
Release Date : 28 March 2024
ISBN : OCLC:1113793927
Pages : 451 pages
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Intelligent Systems for Engineers and Scientists Third Edition 3rd Edition by Adrian Hopgood Book PDF Summary

The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence--including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit

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Get Book
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