000 01688nam a22002177a 4500
999 _c2201
_d2201
005 20220322100144.0
008 220322b ||||| |||| 00| 0 eng d
020 _a9789353946791
082 _a006.3
_bNEG
100 _aNegnevitsky, Michael
_95086
245 _aArtificial intelligence: a guide to intelligent systems
250 _a3rd
260 _bPearson India Education Services Pvt. Ltd.
_aNew Delhi
_c2020
300 _axx, 479 p.
365 _aINR
_b775.00
504 _aTable of Content "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 neural networks 7 Evolutionary computation 8 Hybrid intelligent systems 9 Knowledge engineering 10 Data mining and knowledge discovery"
520 _aNegnevitsky 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. Includes the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.
650 _aArtificial intelligence
_91478
650 _aExpert systems (Computer science)
_96089
942 _2ddc
_cBK