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. Contains contributions from global contributors in the fields of data management research, climate change and resilience, insufficient data problem, and more Presents applied examples and case studies in each chapter, providing the reader with real-world scenarios for comparison Defines classic soft-computing techniques that are necessary for a range of disciplines INDICE: 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

• ISBN: 978-0-12-821285-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/10/2022
• Nº Volúmenes: 1
• Idioma: Inglés