Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis

Author:   Gerald Augusto Corzo Perez
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138434004


Pages:   228
Publication Date:   30 June 2017
Format:   Hardback
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.

Our Price $273.00 Quantity:  
Add to Cart

Share |

Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques: UNESCO-IHE PhD Thesis


Add your own review!

Overview

Full Product Details

Author:   Gerald Augusto Corzo Perez
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.580kg
ISBN:  

9781138434004


ISBN 10:   1138434000
Pages:   228
Publication Date:   30 June 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
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

Reviews

Author Information

Gerald Corzo received his degree of civil engineering from the Escuela Colombian de Ingenieria, Faculty of Engineering (Bogotá, Colombia). He joined the Universidad Francisco de Paula Santander (UFPS), as a lecturer in Mathematics and Statistics (2000-2003). After graduating with the highest degree in his course he moved to Bogotá and served as lecturer in different universities. In October 2003 he moved to Delft in the Netherlands, there he joined the Hydroinformatics Master program at the UNESCO-IHE Institute for Water Education. He was awarded Master of Science in May 2005. His work explored the use of rule-based modelling and Committee of data-driven models in hydrological forecasting. In his thesis he showed a modular scheme approaching the incorporation of hydrological knowledge in a committee model. He continued with his work in the Phd, where he extended the analysis of artificial intelligence methods applied to hydrological phenomena.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List