Stream Flow Modeling of River Swat Using Regression and Artificial Neural Networks (ANNs) Techniques

Abstract:

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This paper presents the utility of Artificial Neural Networks and Regression analysis for the stream flow modeling in Swat River at five discharge gauge station. As an appropriate intelligent model is identified, Artificial Neural Networks (ANNs) is evaluated by comparing it to regression analysis and the available field data. ANNs namely feed forward back propagation neural network (FFBPNN) and regression analysis are introduced and implemented. The research study successfully compared the performance of the ANN and regression models that validated the utility of the two modeling techniques as effective applications to stream flow forecasting.

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Edited by:

Jingying Zhao

Pages:

679-683

DOI:

10.4028/www.scientific.net/AMR.255-260.679

Citation:

S. Daud et al., "Stream Flow Modeling of River Swat Using Regression and Artificial Neural Networks (ANNs) Techniques", Advanced Materials Research, Vols. 255-260, pp. 679-683, 2011

Online since:

May 2011

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Price:

$35.00

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DOI: 10.1061/(asce)1084-0699(2000)5:2(115)

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