Handbook of HydroInformatics - Volume I: Classic Soft-Computing Techniques (Paperback)

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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	December 2022
First published:	2023
Editors:	Saeid Eslamian • Faezeh Eslamian
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	478
ISBN-13:	978-0-12-821285-1
Categories:	Books > Professional & Technical > Environmental engineering & technology > Sanitary & municipal engineering > Water supply & treatment > General Promotions
LSN:	0-12-821285-3
Barcode:	9780128212851

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