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Principles of soft computing using Python programming = learn how to deploy soft computing models in real world applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Principles of soft computing using Python programming/ Gypsy Nandi.
Reminder of title:	learn how to deploy soft computing models in real world applications /
Author:	Nandi, Gypsy.
Published:	Piscataway, NJ :IEEE ; : c2024.,
Description:	1 online resource :ill. :
Notes:	Includes index.
Subject:	Soft computing. -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781394173167
ISBN:	9781394173167

Principles of soft computing using Python programming = learn how to deploy soft computing models in real world applications /
Nandi, Gypsy.

Principles of soft computing using Python programminglearn how to deploy soft computing models in real world applications /[electronic resource] :Gypsy Nandi. - 1st ed. - Piscataway, NJ :IEEE ;c2024. - 1 online resource :ill.

Includes index.

Chapter 1 Fundamentals of Soft Computing -- Chapter 2 Fuzzy Computing -- Chapter 3 Artificial Neural Network -- Chapter 4 Deep Learning -- Chapter 5 Probabilistic Reasoning -- Chapter 6 Population-Based Algorithms.

"Soft computing is an innovative approach to computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Soft computing techniques have the roots in machine learning, fuzzy logic, evolutionary computation, and probabilistic theory. Hence, it is a vital tool used for performing several computing operations. Often it has been noticed that no fixed solution can be found for a computationally hard task. In such a case, a precisely stated analytical model may not work to produce precise results. For this, the soft computing approach can be used that does not require a fixed mathematical modelling for problem solving. In fact, the uniqueness and strength of soft computing lie in its superpower of fusing of two or more soft computing computational models/techniques to generate optimum results"--

ISBN: 9781394173167Subjects--Topical Terms:

562548
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 005.13/3

Principles of soft computing using Python programming = learn how to deploy soft computing models in real world applications /
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245 1 0 $a Principles of soft computing using Python programming $h [electronic resource] : $b learn how to deploy soft computing models in real world applications / $c Gypsy Nandi.
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260 $a Piscataway, NJ : $a Hoboken, NJ : $b IEEE ; $c c2024. $b John Wiley & Sons,
300 $a 1 online resource : $b ill.
500 $a Includes index.
505 0 $a Chapter 1 Fundamentals of Soft Computing -- Chapter 2 Fuzzy Computing -- Chapter 3 Artificial Neural Network -- Chapter 4 Deep Learning -- Chapter 5 Probabilistic Reasoning -- Chapter 6 Population-Based Algorithms.
520 $a "Soft computing is an innovative approach to computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Soft computing techniques have the roots in machine learning, fuzzy logic, evolutionary computation, and probabilistic theory. Hence, it is a vital tool used for performing several computing operations. Often it has been noticed that no fixed solution can be found for a computationally hard task. In such a case, a precisely stated analytical model may not work to produce precise results. For this, the soft computing approach can be used that does not require a fixed mathematical modelling for problem solving. In fact, the uniqueness and strength of soft computing lie in its superpower of fusing of two or more soft computing computational models/techniques to generate optimum results"-- $c Provided by publisher.
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856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781394173167