Concepts of Soft Computing - Fuzzy and ANN with Programming (Hardcover, 1st ed. 2019)

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

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	May 2019
First published:	2019
Authors:	Snehashish Chakraverty • Deepti Moyi Sahoo • Nisha Rani Mahato
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	195
Edition:	1st ed. 2019
ISBN-13:	978-981-13-7429-6
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-7429-5
Barcode:	9789811374296

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