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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques - UNESCO-IHE PhD Thesis (Hardcover) Loot Price: R5,400
Discovery Miles 54 000
Repayment Terms: R506 pm x 12*
Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques - UNESCO-IHE PhD Thesis...

Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques - UNESCO-IHE PhD Thesis (Hardcover)

Durga Lal Shrestha

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Loot Price R5,400 Discovery Miles 54 000 | Repayment Terms: R506 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: July 2017
First published: 2010
Authors: Durga Lal Shrestha
Dimensions: 246 x 174mm (L x W)
Format: Hardcover
Pages: 222
ISBN-13: 978-1-138-42409-8
Categories: Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geochemistry
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LSN: 1-138-42409-9
Barcode: 9781138424098

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