Artificial intelligence (Record no. 485054)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 0000337668
003 - CONTROL NUMBER IDENTIFIER
control field 0003
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240108150656.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788131720493
040 ## - CATALOGING SOURCE
Transcribing agency Ost
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
084 ## - OTHER CLASSIFICATION NUMBER
Classification number 006.3
Item number NEG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Negnevitsky, Michael
245 #0 - TITLE STATEMENT
Title Artificial intelligence
Medium [Book]
Remainder of title a guide to intelligent systems
Statement of responsibility, etc. Michael Negnevitsky.
250 ## - EDITION STATEMENT
Edition statement 2nd Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Pearson Education New Delhi
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 415 p. :
Other physical details ill. ;
Dimensions 24 cm
Accompanying material All
505 1# - FORMATTED CONTENTS NOTE
Formatted contents note Table 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 And Data Mining Glossary Appendix Index
520 ## - SUMMARY, ETC.
Summary, etc. artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses. 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 will be described and program examples will be given in Java. The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques.
521 ## - TARGET AUDIENCE NOTE
Target audience note All.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Expert System (Computer Sciences)
Topical term or geographic name entry element Artificial intelligence
852 ## - LOCATION
Accession No. 10004000023218
Former shelving location Books
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     COMSATS University Wah Campus COMSATS University Wah Campus 01/08/2024   006.3 NEG 10004000023218 01/08/2024 23218 01/08/2024 Books