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Computational Intelligence for Water and Environmental Sciences
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computational Intelligence for Water and Environmental Sciences/ edited by Omid Bozorg-Haddad, Babak Zolghadr-Asli.
other author:
Bozorg-Haddad, Omid.
Description:
XXI, 540 p. 157 illus., 80 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
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. - 1st ed. 2022. - XXI, 540 p. 157 illus., 80 illus. in color.online resource. - Studies in Computational Intelligence,10431860-9503 ;. - Studies in Computational Intelligence,564.
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:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Computational Intelligence for Water and Environmental Sciences
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