Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques-电子书百科大全

Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques book cover

Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques

Author(s): Saeid Eslamian (Editor), Faezeh Eslamian

Publisher: Elsevier
Publication Date: 5 Dec. 2022
Edition: 1st
Language: English
Print length: 482 pages
ISBN-10: 0128212853
ISBN-13: 9780128212851

Book Description

Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series.  Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc. It is a fully comprehensive handbook providing all the information needed around classic soft-computing techniques.

This volume is a true interdisciplinary work, and the audience includes postgraduates and early career researchers interested in Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, and Chemical Engineering.

Key insights from global contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc.
Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison.
Introduces classic soft-computing techniques, necessary for a range of disciplines.

Editorial Reviews

Review

A fully comprehensive handbook that provides all the information needed to understand classic soft-computing techniques, machine learning, and more

From the Back Cover

Classic Soft-Computing Techniques is the first volume of three, in the Handbook of HydroInformatics series. Through this comprehensive, 34-chapter work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc.

This volume is a true interdisciplinary work and the audiences include post graduates and above interested in Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, and Chemical Engineering.

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