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Artificial intelligence : a guide to intelligent systems

Author: Michael Negnevitsky
Publisher: Harlow, England ; New York : Addison-Wesley, 2005.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
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Genre/Form: Einführung
Document Type: Book
All Authors / Contributors: Michael Negnevitsky
ISBN: 0321204662 9780321204660
OCLC Number: 55474224
Description: xiv, 415 pages : illustrations ; 24 cm
Contents: 1. Introduction to knowledge-based intelligent systems --
2. Rule-based expert systems --
3. Uncertainty management in rule-based expert systems --
4. Fuzzy expert systems --
5. Frame-based expert systems --
6. Artificial neutral networks --
7. Evolutionary computation --
8. Hybrid intelligent systems --
9. Knowledge engineering and data mining.
Responsibility: Michael Negnevitsky.

Abstract:

This title shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent  Read more...

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