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Computational intelligence for water...

Bozorg-Haddad, Omid.

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Computational intelligence for water and environmental sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence for water and environmental sciences/ edited by Omid Bozorg-Haddad, Babak Zolghadr-Asli.
其他作者:	Bozorg-Haddad, Omid.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xxi, 540 p. :ill. (some col.), digital ;24 cm.
內容註:	Optimization Algorithms -- Data mining -- Machine Learning -- Artificial Intelligence -- Deep Learning -- Expert Systems -- Probabilistic Models -- Bayesian models -- Fuzzy logic and Fuzzy Theory.
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-981-19-2519-1
ISBN:	9789811925191

Computational intelligence for water and environmental sciences
Computational intelligence for water and environmental sciences[electronic resource] /edited by Omid Bozorg-Haddad, Babak Zolghadr-Asli. - Singapore :Springer Nature Singapore :2022. - xxi, 540 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 10431860-9503 ;. - Studies in computational intelligence ;v. 1043..

Optimization Algorithms -- Data mining -- Machine Learning -- Artificial Intelligence -- Deep Learning -- Expert Systems -- Probabilistic Models -- Bayesian models -- Fuzzy logic and Fuzzy Theory.

This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.

ISBN: 9789811925191

Standard No.: 10.1007/978-981-19-2519-1doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342 / .C65 2022

Dewey Class. No.: 006.3

Computational intelligence for water and environmental sciences
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520 $a This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.
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