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Artificial Intelligence by Michael Negnevitsky
Artificial Intelligence by Michael Negnevitsky
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Artificial Intelligence

A Guide to Intelligent Systems
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Description

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available.

Author Biography:

Dr Michael Negnevitsky is a Professor in Electrical Engineering and Computer Science at the University of Tasmania, Australia. The book has developed from his lectures to undergraduates. Educated as an electrical engineer, Dr Negnevitsky’s many interests include artificial intelligence and soft computing. His research involves the development and application of intelligent systems in electrical engineering, process control and environmental engineering. He has authored and co-authored over 300 research publications including numerous journal articles, four patents for inventions and two books.
Release date NZ
May 19th, 2011
Audience
  • Tertiary Education (US: College)
Edition
3rd edition
Pages
504
Dimensions
159x221x25
ISBN-13
9781408225745
Product ID
10428517

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Books >
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Knowledge-based systems / expert systems
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Artificial intelligence
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Computer Applications >
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Neural networks
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Books >
Computers & Internet >
Computer science >
Artificial intelligence >
Expert systems / knowledge-based systems
Books >
Computers & Internet >
Computer science >
Artificial intelligence >
Neural networks & fuzzy systems