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Fuzzy Neural Network hybrid modelling for runoff estimation: A case study on Koga catchment,Ethiopia - Softcover
Inhaltsangabe
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.
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Reseña del editor
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.
Biografía del autor
Dr.Deka took Phd from IIT, Guwahati in 2004.He served as Assistant professor in Arbaminch University, Ethiopia during 2005-2008.Currently, He is the faculty of NIT, Surathkal, India. He has published more than twenty research papers in various international journals related to applications of ANN, FL, GA, and WAVELET TRANSFORM in water resources.
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Fuzzy Neural Network hybrid modelling for runoff estimation
Verlag:
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845477067
ISBN 13: 9783845477060
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Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Artikel-Nr. 9783845477060
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