Handbook of HydroInformatics

Handbook of HydroInformatics

Volume I: Classic Soft-Computing Techniques

1st Edition - October 1, 2022

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  • Editors: Saeid Eslamian, Faezeh Eslamian
  • Paperback ISBN: 9780128212851

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Description

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

Key Features

  • 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

Readership

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, Chemical Engineering

Table of Contents

  • 1. Ant-Colony Based Simulation–Optimization Modeling
    2. Artificial Intelligent and Deep Learning
    3. Artificial Neural Network
    4. Bat Algorithm
    5. Citizen Science
    6. Conceptual Grey
    7. Data Reduction Techniques
    8. Data Science for Utilities and Urban Systems
    9. Decision Tree Algorithm
    10. Discrete Mixed Subdomain Least Squares
    11. Earthen Worm Algorithm
    12. Entropy and Resilience Indices
    13. Evolutionary Based Meta-Modeling
    14. Evolutionary Polynomial Regression Paradigm
    15. Firefly Algorithm
    16. Fish-Friendly Engineering (Fish Habitat Analysis)
    17. Fuzzy Logic
    18. Game Theory
    19. Genetic Algorithm
    20. Gene Expression Models
    21. Heuristic Burst Detection Method
    22. Honey-Bee Mating Optimization
    23. Hybrid Cuckoo–Harmony Search Algorithm
    24. Hybrid Mechanistic Data Driven Model
    25. Imperialist Competitive Algorithm
    26. Integrated Cellular Automata Evolution
    27. Lattice Boltzmann Method
    28. Meshless Particle Modeling
    29. Multivariare Regressions
    30. Ontology-Based Knowledge Management framework
    31. Random Forest
    32. Relevance Vector Machine
    33. Rhie and Chow Interpolation
    34. Supporting Vector Machine

Product details

  • No. of pages: 450
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: October 1, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780128212851

About the Editors

Saeid Eslamian

Saeid Eslamian is a Full Professor of Hydrology and Water Resources Sustainability at Isfahan University of Technology in the Department of Water Engineering. His research focuses mainly on Statistical and Environmental Hydrology and Climate Change. In particular, he is working on Modeling Natural Hazards including Flood, Drought, Storm, Wind, and Pollution toward a sustainable environment. Formerly, he was a Visiting Professor at Princeton University, United States, University of ETH Zurich, Switzerland, and McGill University, Montreal, Quebec, Canada. He has contributed to more than 400 publications in journals, books, or as technical reports. He is the Founder and Chief Editor of two journals and has been the author of about 100 books and chapters. Prof. Eslamian is the editorial board member and reviewer of about 40 Web of Science (ISI) Journals.

Affiliations and Expertise

Full Professor of Hydrology and Water Resources Sustainability, Department of Water Engineering, Isfahan University of Technology, Iran

Faezeh Eslamian

Faezeh Eslamian works at McHill University in Quebec, Canada.

Affiliations and Expertise

McHill University, Quebec, Canada

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