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

Classic Soft-Computing Techniques, Volume One in the Handbook of Hydroinformatics series, explores 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. Chapters 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, and more.

This volume is a true interdisciplinary work that will be useful to post graduates and above in the fields of Artificial Intelligence, 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.