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Fuzzy Neural Network hybrid modelling for runoff estimation

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

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.

Product Specifications
SKU :COC98786
AuthorParesh Chandra Deka and Twolde Mirhanu
LanguageEnglish
BindingPaperback
Number of Pages68
Publishing Year2011-09-08T00:00:00.000
ISBN978-3845477060
Edition1 st
Book TypeEarth sciences, geography, environment, planning
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-18 00:00:00
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