
- 241 pages
- English
- PDF
- Available on iOS & Android
Modelling for Coastal Hydraulics and Engineering
About this book
This volume reviews the state-of-the-art in conventional coastal modelling as well as the increasingly popular integration of various artificial intelligence technologies into coastal modelling. It examines conventional hydrodynamic and water quality modelling techniques, finite difference and finite element methods, novel and genetic algorithms, knowledge-based systems, artificial neural networks, and fuzzy inference systems. The author discusses soft computing methods that contribute to accurate and reliable prediction of coastal processes and describes how combining these techniques and harnessing their benefits has the potential to make extremely powerful modelling tools.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Chapter 1: Introduction
- Chapter 2: Coastal modelling
- Chapter 3: Conventional modelling techniques for coastal engineering
- Chapter 4: Finite difference methods
- Chapter 5: Finite element methods
- Chapter 6: Soft computing techniques
- Chapter 7: Artificial neural networks
- Chapter 8: Fuzzy inference systems
- Chapter 9: Evolutionary algorithms
- Chapter 10: Knowledge-based systems
- Chapter 11: Conclusions
- References
- Index
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