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.
Table of Contents
1. Ant-Colony Based Simulation–Optimization Modeling2. Artificial Intelligent and Deep Learning3. Artificial Neural Network4. Bat Algorithm5. Citizen Science6. Conceptual Grey7. Data Reduction Techniques8. Data Science for Utilities and Urban Systems9. Decision Tree Algorithm10. Discrete Mixed Subdomain Least Squares11. Earthen Worm Algorithm12. Entropy and Resilience Indices13. Evolutionary Based Meta-Modeling14. Evolutionary Polynomial Regression Paradigm15. Firefly Algorithm16. Fish-Friendly Engineering (Fish Habitat Analysis)17. Fuzzy Logic18. Game Theory19. Genetic Algorithm20. Gene Expression Models21. Heuristic Burst Detection Method22. Honey-Bee Mating Optimization23. Hybrid Cuckoo–Harmony Search Algorithm24. Hybrid Mechanistic Data Driven Model25. Imperialist Competitive Algorithm26. Integrated Cellular Automata Evolution27. Lattice Boltzmann Method28. Meshless Particle Modeling29. Multivariare Regressions30. Ontology-Based Knowledge Management framework31. Random Forest32. Relevance Vector Machine33. Rhie and Chow Interpolation34. Supporting Vector Machine
