Studies in Computational Intelligence

Bozorg-Haddad, Omid; Zolghadr-Asli, Babak

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.

Details

Published by: Springer

Publication Date: 2022-07-09

Format: Hardcover

ISBN-13: 9789811925184

DOI: 10.1007/978-981-19-2519-1

Dimensions: 235cm x155cm

Pages: 540