Durga Lal Shrestha
Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques
UNESCO-IHE PhD Thesis
Gebonden Engels 2017 1e druk 9781138424098Levertijd ongeveer 11 werkdagen
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Samenvatting
This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models, focusing mainly on the development and testing of two different models. The first focuses on parameter uncertainty analysis by emulating the results of Monte Carlo simulation of hydrological models using efficient machine learning techniques. The second method aims at modelling uncertainty by building an ensemble of specialized machine learning models on the basis of past hydrological model‘s performance. The book then demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.
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