چکیده مقاله
In this paper, Artificial Neural Network ANN is proposed as a tool to predict runoff for the Lighvan Chay basin which is located in the North West part of Iran A feed forward artificial neural network is trained by using back propagation algorithm The training and testing data were collected during years 1979 to 2000 The results of ANN model are compared with Linear Regression LR model Three criteria Mean Square Error MSE Correlation Coefficient R2 and Nash Sutcliff Coefficient NE are used Results demonstrate that neural network is better than the linear classic model and non linear ANN modeling is useful for snow stay basin when given the same data inputs
کلیدواژهها
نویسندگان
S. A. Akrami
Civil Engineering Department, Faculty of Engineering, University of Malaya, Malaysia
F. Othman
Civil Engineering Department, Faculty of Engineering, University of Malaya, Malaysia
S. M. R. Akrami
Civil Engineering Department, Faculty of Engineering, Sharif University, Iran
شیوه ارجاع
Akrami, S. A. and Othman, F. and R. Akrami, S. M.,1388,Real time runoff forecasting by Artificial Neural Network,8th International Congress on Civil Engineering,Shiraz
ارائهشده در
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