Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques: UNESCO-IHE PhD Thesis
Author:   Durga Lal Shrestha
Publisher:   Taylor & Francis Ltd
ISBN:  

9780415565981


Pages:   222
Publication Date:   15 January 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques: UNESCO-IHE PhD Thesis


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Author:   Durga Lal Shrestha
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.408kg
ISBN:  

9780415565981


ISBN 10:   0415565987
Pages:   222
Publication Date:   15 January 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Content: Introduction; Uncertainty analysis in rainfall-runoff modelling; Machine learning techniques and parameter uncertainty, residual uncertainty; Conclusions and recommendations.

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Author Information

Durga Lal Shrestha is a researcher in the Hydroinformatics and Knowledge Management Department of the UNESCO-IHE Institute for Water Education, Netherlands. He received his Masters degree in hydroinformatics from the UNESCO-IHE Institute for Water Education in 2002. His research interests include hydrological modelling, uncertainty analysis, global and evolutionary optimisation, machine learning techniques and their applications in water based systems.

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