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Titlebook: Computational Intelligence for Water and Environmental Sciences; Omid Bozorg-Haddad,Babak Zolghadr-Asli Book 2022 The Editor(s) (if applic

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書目名稱Computational Intelligence for Water and Environmental Sciences
編輯Omid Bozorg-Haddad,Babak Zolghadr-Asli
視頻videohttp://file.papertrans.cn/233/232465/232465.mp4
概述Reviews comprehensively CI-oriented topics that address the needs of general and specialist readers.Contains practical examples that provide a detailed and practical concept of each topic to the reade
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence for Water and Environmental Sciences;  Omid Bozorg-Haddad,Babak Zolghadr-Asli Book 2022 The Editor(s) (if applic
描述.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..
出版日期Book 2022
關(guān)鍵詞Artificial Intelligence; Optimization Algorithms; Data Mining; Water Resource Management; Machine Learni
版次1
doihttps://doi.org/10.1007/978-981-19-2519-1
isbn_softcover978-981-19-2521-4
isbn_ebook978-981-19-2519-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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978-981-19-2521-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Deployment Criteria for Strategic Defences,application and promising results. The inspiration of PSO is the collaborative swarm behavior of biological populations—a noted computational intelligence technique. There is no doubt that PSO has made outstanding contributions to vast water and environmental science problems in the real world thus
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https://doi.org/10.1007/978-3-642-57332-3 calibration of hydrologic model parameters with conflicting objectives attempts to adjust the parameter values in terms of different objective functions. Thus, this research carried out a procedure of multi-objective optimization for a distributed and single event-based rainfall–runoff model (i.e.
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