Soft computing (Record no. 7825)

000 -LEADER
fixed length control field nam a22 7a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181207105439.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181207b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789353160661
040 ## - CATALOGING SOURCE
Transcribing agency AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number DDC23
Classification number 006.3
Item number KAU/TIW
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 6879
Personal name Kaushik, Saroj
245 ## - TITLE STATEMENT
Title Soft computing
Remainder of title : Fundamentals, techniques and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. McGraw Hill Education
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 405p.
Other physical details | Binding - Paperback |
Dimensions 24*18.5 cm
520 ## - SUMMARY, ETC.
Summary, etc. This is a comprehensive textbook on fundamentals ofmethodologies and practices in soft computing domain for students of undergraduateand postgraduate engineering and allied courses who have opted for this course.Experts on the subject have deftly explained the concepts with help of examplesand pseudo algorithms for various methods.

Since computational intelligence and machine intelligenceare backbone and foundation for smart systems, soft computing provides basisfor building such systems. This book will equip readers to provide softcomputing techniques with low cost and reasonably good solutions to hardproblems
Expansion of summary note CONTENT:
1.Introduction to Soft Computing

2. Crisp and Fuzzy Sets

3. Fuzzy Logic and Inference Rules

4. Fuzzy Inference Systems

5. Rough Set and Possibility Theory

6. Single-layer Feed-forward Neural Network—Perceptron

7. Multi-layer Feed-forward Neural Network

8. Radial Basis Function Neural Network

9. Recurrent Neural Networks

10. Hybrid Intelligent System: Neuro-fuzzy Systems

11. Introduction to Evolutionary Computing

12. Genetic Algorithm Processes

13. Introduction to Swarm Intelligence

14. Introduction to Machine Learning

15. Advanced Machine-learning Techniques

650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4621
Topical term or geographic name entry element Civil Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 6880
Personal name Tiwari, Sunita
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Text Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Total Checkouts Date last checked out
        Not For Loan Reference School of Engineering & Technology School of Engineering & Technology Reference Section 2018-11-12 Medico's Book Aid 468.00 006.3 KAU/TIW E14916 2020-10-23 585.00 2018-12-07 Text Books    
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-11-12 Medico's Book Aid 468.00 006.3 KAU/TIW E14917 2020-10-23 585.00 2018-12-07 Text Books 2 2019-04-30
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-11-12 Medico's Book Aid 468.00 006.3 KAU/TIW E14918 2022-06-13 585.00 2018-12-07 Text Books 3 2022-01-03
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