Soft computing : Fundamentals, techniques and applications
By: Kaushik, Saroj
.
Contributor(s): Tiwari, Sunita.
Publisher: Chennai McGraw Hill Education 2018Description: xxvi, 405p. | Binding - Paperback | 24*18.5 cm.ISBN: 9789353160661.Subject(s): Civil EngineeringDDC classification: 006.3 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
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Text Books
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School of Engineering & Technology Reference Section | Reference | 006.3 KAU/TIW (Browse shelf) | Not For Loan | E14916 | ||
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Text Books
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School of Engineering & Technology General Stacks | Circulation | 006.3 KAU/TIW (Browse shelf) | Available | E14917 | ||
|
Text Books
|
School of Engineering & Technology General Stacks | Circulation | 006.3 KAU/TIW (Browse shelf) | Available | E14918 |
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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