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Concepts of soft computingfuzzy and ...
~
Chakraverty, Snehashish.
Concepts of soft computingfuzzy and ANN with programming /
Record Type:
Electronic resources : Monographic component part
Title/Author:
Concepts of soft computingby Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato.
Reminder of title:
fuzzy and ANN with programming /
Author:
Chakraverty, Snehashish.
other author:
Sahoo, Deepti Moyi.
Published:
Singapore :Springer Singapore :2019.
Description:
xxii, 195 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Soft computing.
Online resource:
https://doi.org/10.1007/978-981-13-7430-2
ISBN:
9789811374302$q(electronic bk.)
Concepts of soft computingfuzzy and ANN with programming /
Chakraverty, Snehashish.
Concepts of soft computing
fuzzy and ANN with programming /[electronic resource] :by Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato. - Singapore :Springer Singapore :2019. - xxii, 195 p. :ill., digital ;24 cm.
Soft Computing -- Intervals -- Fuzzy Sets -- Fuzzy Numbers -- Fuzzy Relations -- Fuzzy Functions -- Fuzzy differentiation and integration -- Defuzzification -- Interval system of linear equations -- Interval eigenvalue problems.
This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases.
ISBN: 9789811374302$q(electronic bk.)
Standard No.: 10.1007/978-981-13-7430-2doiSubjects--Topical Terms:
182083
Soft computing.
LC Class. No.: QA76.9.S63
Dewey Class. No.: 006.3
Concepts of soft computingfuzzy and ANN with programming /
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fuzzy and ANN with programming /
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by Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato.
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Soft Computing -- Intervals -- Fuzzy Sets -- Fuzzy Numbers -- Fuzzy Relations -- Fuzzy Functions -- Fuzzy differentiation and integration -- Defuzzification -- Interval system of linear equations -- Interval eigenvalue problems.
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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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Computer Science (Springer-11645)
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EB QA76.9.S63 C435 2019 2019
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https://doi.org/10.1007/978-981-13-7430-2
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