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ARPN Journal of Science and Technology >> Volume 7, Issue 1, January 2017

ARPN Journal of Science and Technology


Fuzzy Based Flood Control System with Prediction Using ANN for a Physical Hydraulic Model

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Author Yogesh Shirke, Prof.Dr.Rameshwar Kawitkar, Selva Balan
ISSN 2225-7217
On Pages 292-296
Volume No. 2
Issue No. 4
Issue Date May 01, 2012
Publishing Date May 01, 2012
Keywords Artificial Neural Network (ANN), Back Propagation (BP), Fuzzy Technique



Abstract

Hydrological cycle is a highly nonlinear system which makes hydrological modeling very complicated. In recent years Artificial Neural Networks (ANN) proved to be most convenient and easy tool for modeling and analysis of such non-linear events. This paper describes an application of ANN to model these predominent non-linear Hydroligical events. Back Propagation (BP) is used for more accurate training of ANN. Here, Fuzzy technique and its interfacing with ANN is also overviewed. This research study is being performed at Central Water and Power Research Station (CWPRS), Khadakwasla (Pune) on Bombay Model.


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2012 ARPN Publishers