Concepts of Soft Computing

Concepts of Soft Computing
Author :
Publisher : Springer
Total Pages : 195
Release :
ISBN-10 : 9789811374302
ISBN-13 : 9811374309
Rating : 4/5 (02 Downloads)

Book Synopsis Concepts of Soft Computing by : Snehashish Chakraverty

Download or read book Concepts of Soft Computing written by Snehashish Chakraverty and published by Springer. This book was released on 2019-04-30 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases


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