Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

• Autorzy: Chattopadhyay S.
• Języki publikacji: EN

Abstrakty

EN

In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network model. In formulating the ANN – based predictive model, three-layer network has been constructed with sigmoid non-linearity. The monthly summer monsoon rainfall totals, tropical rainfall indices and sea surface temperature anomalies have been considered as predictors while generating the input matrix for the ANN. The data pertaining to the years 1950-1995 have been explored to develop the predictive model. Fi-nally, the prediction performance of neural net has been compared with persistence forecast and Multiple Linear Regression forecast and the supremacy of the ANN has been established over the other processes.

Słowa kluczowe

EN

summer-monsoon rainfall; prediction of monsoon rainfall; Artificial Neural Network model; Multiple Linear Regression forecast

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2007
• Tom: Vol. 55, no. 3
• Strony: 369--382

Twórcy

autor

Chattopadhyay S.

• Pailan College of Management and Technology, Kolkata, India,

Bibliografia

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