Kaushik, Saroj <br/><br/>
Soft computing  : Fundamentals, techniques and applications 

 - Chennai  McGraw Hill Education  2018 
 - xxvi, 405p.  | Binding - Paperback |  24*18.5 cm 
<br/><br/> 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.        <br/><br/>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:<br/>1.Introduction to Soft Computing<br/><br/>2. Crisp and Fuzzy Sets<br/><br/>3. Fuzzy Logic and Inference Rules<br/><br/>4. Fuzzy Inference Systems<br/><br/>5. Rough Set and Possibility Theory<br/><br/>6. Single-layer Feed-forward Neural Network—Perceptron<br/><br/>7. Multi-layer Feed-forward Neural Network<br/><br/>8. Radial Basis Function Neural Network<br/><br/>9. Recurrent Neural Networks<br/><br/>10. Hybrid Intelligent System: Neuro-fuzzy Systems<br/><br/>11. Introduction to Evolutionary Computing<br/><br/>12. Genetic Algorithm Processes<br/><br/>13. Introduction to Swarm Intelligence<br/><br/>14. Introduction to Machine Learning<br/><br/>15. Advanced Machine-learning Techniques<br/><br/> 
<br/><br/><label>ISBN: </label>9789353160661 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Civil Engineering
<br/><br/><label>Dewey Class. No.: </label>006.3  / KAU/TIW