Fuzzy Neural Network hybrid modelling for runoff estimation: A case study on Koga catchment,Ethiopia - Couverture souple

Deka, Paresh Chandra; Mirhanu, Twolde

 
9783845477060: Fuzzy Neural Network hybrid modelling for runoff estimation: A case study on Koga catchment,Ethiopia
Couverture souple
ISBN 10 : 3845477067 ISBN 13 : 9783845477060
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology as the rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple model. The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in estimating the daily runoff at the outlet of Koga catchment within Blue Nile river basin in Ethiopia. The methodology and results were analysed for different input scenarios. The analysis should be especially useful to the Hydrologist, civil engineering students, field engineers and researchers who may be considering utilizing latest soft computing techniques for runoff estimation in limited data, uncertainty and partially understood hydrological processes of a catchment.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3845477067
ISBN 13 
9783845477060
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
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