Computational intelligence for water and environmental sciences / Omid Bozorg-Haddad, Babak Zolghadr-Asli, editors.
2022
Q342
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Details
Title
Computational intelligence for water and environmental sciences / Omid Bozorg-Haddad, Babak Zolghadr-Asli, editors.
ISBN
9789811925191 (electronic bk.)
9811925194 (electronic bk.)
9811925186
9789811925184
9811925194 (electronic bk.)
9811925186
9789811925184
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-981-19-2519-1 doi
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
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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Source of Description
Description based on print version record.
Series
Studies in computational intelligence ; v. 1043.
Available in Other Form
COMPUTATIONAL INTELLIGENCE FOR WATER AND ENVIRONMENTAL SCIENCES.
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Table of Contents
Optimization Algorithms
Data mining
Machine Learning
Artificial Intelligence
Deep Learning
Expert Systems
Probabilistic Models
Bayesian models
Fuzzy logic and Fuzzy Theory.
Data mining
Machine Learning
Artificial Intelligence
Deep Learning
Expert Systems
Probabilistic Models
Bayesian models
Fuzzy logic and Fuzzy Theory.