Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques : UNESCO-IHE PhD Thesis
Book Details
Format
Hardback or Cased Book
ISBN-10
1138424099
ISBN-13
9781138424098
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 20th, 2017
Print length
222 Pages
Weight
453 grams
Product Classification:
Geology & the lithosphere
Ksh 36,000.00
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Describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models, focusing on the development and testing of two different models. This book demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.
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 models performance. The book then demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.
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