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

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

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  • More about Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques

The Handbook of HydroInformatics series' first volume, Classic Soft-Computing Techniques, discusses the distinction between hard and soft computing, highlighting the importance of precision, certainty, and rigor. It defines fundamental soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, and more, making it a comprehensive handbook for postgraduates and early career researchers in various interdisciplinary fields.

Format: Paperback / softback
Length: 478 pages
Publication date: 02 December 2022
Publisher: Elsevier Science Publishing Co Inc


The Handbook of HydroInformatics series' first volume, Classic Soft-Computing Techniques, delves into the realm of soft computing, a distinct approach that emphasizes precision, certainty, and rigor. Comprising a comprehensive 34 chapters, this work explores the contrast between traditional computing, often referred to as hard computing, and soft computing. Within these chapters, the contributors shed light on fundamental soft-computing techniques, including 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, and many more. This handbook serves as an invaluable resource, offering comprehensive coverage of classic soft-computing techniques. It appeals to a diverse audience, including postgraduates and early career researchers from fields such as 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. By providing a thorough exploration of these techniques, this volume serves as a valuable tool for those seeking to advance their knowledge and expertise in the field of hydroinformatics.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128212851

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