Advanced Hydroinformatics
by Gerald A. Corzo Perez;Dimitri P. Solomatine;, Dimitri P. Solomatine
English | 2024 | ISBN: 9781119639343 | 478 pages | True PDF EPUB | 79.79 MB
Free Download Applying machine learning and optimization technologies to water management problems
The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts.
Advanced Hydroinformatics: Machine Learning and Optimization for Water Resourcespresents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management.
Volume Highlights Include:
Overview of the application of artificial intelligence and machine learning techniques in hydroinformaticsAdvances in modeling hydrological systemsDifferent data analysis methods and models for forecasting water resourcesNew areas of knowledge discovery and optimization based on using machine learning techniquesCase studies from North America, South America, the Caribbean, Europe, and Asia
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
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