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

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, K. Shahzada, M. Tufail, M. Fahad, "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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