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Artificial intelligence / : a guide to intelligent systems Michael Negnevitsky

By: Negnevitsky, MichaelPublication details: Harlow : Pearson, 2011. Edition: 3rd edDescription: xx, 479 p. : ill. ; 23 cmISBN: 9781408225745; 1408225743Subject(s): Expert systems (Computer science) | Artificial intelligenceDDC classification: 006.3 NEG
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English Lending English Lending Villa College Library
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Contents:
1 Introduction to knowledge based intelligent system
2 Rule-based expert system
3 Uncertainty management in rule-based expert system
4 Fuzzy expert system
5 Frame-based expert system
6 Artificial neural networks
7 Evolutionary computation
8 Hybrid intelligent system
9 Knowledge engineering
10 Data mining and knowledge discovery

Includes bibliographical references and index.

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