Kód: 38827179
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 k ... celý popis
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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. Contributions from global contributors from the fields of data management research, climate change and resilience, insufficient data problem, etc. Presents applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison Defines classic soft-computing techniques, necessary for a range of disciplines
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