Soft computing : Fundamentals, techniques and applications

By:

Kaushik, Saroj

Contributor(s):

Tiwari, Sunita

Language: ENG Analytics: Show analyticsPublication details: Chennai McGraw Hill Education 2018Description: xxvi, 405p. | Binding - Paperback | 24*18.5 cmISBN:

9789353160661

Subject(s):

Civil Engineering

DDC classification:

DDC23 006.3 KAU/TIW

Summary: 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 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

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	School of Engineering & Technology Reference Section	Reference	006.3 KAU/TIW (Browse shelf(Opens below))	Not For Loan	E14916
Books	School of Engineering & Technology General Stacks	Circulation	006.3 KAU/TIW (Browse shelf(Opens below))	Available	E14917
Books	School of Engineering & Technology General Stacks	Circulation	006.3 KAU/TIW (Browse shelf(Opens below))	Available	E14918

Total holds: 0

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 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

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