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Artificial Intelligence: A Guide to Intelligent Systems
Michael Negnevitsky
€ 103.62
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Description for Artificial Intelligence: A Guide to Intelligent Systems
Paperback. Num Pages: 504 pages, Illustrations. BIC Classification: UYQ; UYQE; UYQN. Category: (U) Tertiary Education (US: College). Dimension: 156 x 233 x 26. Weight in Grams: 748.
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. However, available tools and their uses are described, and program examples are given in Java. The lack of assumed prior knowledge makes this book ... Read more
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. However, available tools and their uses are described, and program examples are given in Java. The lack of assumed prior knowledge makes this book ... Read more
Product Details
Publisher
Pearson Education Limited
Number of pages
504
Format
Paperback
Publication date
2011
Condition
New
Weight
747g
Number of Pages
504
Place of Publication
Harlow, United Kingdom
ISBN
9781408225745
SKU
V9781408225745
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Michael Negnevitsky
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. ... Read more
Reviews for Artificial Intelligence: A Guide to Intelligent Systems
This book covers many areas related to my module. I would be happy to recommend this book to my students. I believe my students would be able to follow this book without any difficulty. Book chapters are very well organised and this will help me to pick and choose the subjects related to this module. Dr Ahmad Lotfi, Nottingham ... Read more