Journal : Acta Geophysica
Article : Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

Authors :
Domański, B.M.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, bogdan@igf.edu.pl,
Gnyp, A.
Carpathian Branch of Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Lviv, Ukraine, gnyp@cb-igph.lviv.ua,
Shanker, D.
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, dayasfeq@iitr.ernet.in,
Zheng, H.
Geological Science Department, University of Saskatchewan, Saskatoon, Canada, hs.zheng@usask.ca,
Majewska, Z.
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Kraków, Poland, majewska@geol.agh.edu.pl,
Dooge, J.C.I.
Centre for Water Resources Research, University College, Dublin, jdooge1@eircom.net,
Fleming, S.W.
Meteorological Service of Canada, Vancouver, Canada, fleming_sean@hotmail.com,
Chattopadhyay, S.
Pailan College of Management and Technology, Kolkata, India, surajit_2008@yahoo.co.in,
Abstract : 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.

Keywords : summer-monsoon rainfall, prediction of monsoon rainfall, Artificial Neural Network model, Multiple Linear Regression forecast,
Publishing house : Instytut Geofizyki PAN
Publication date : 2007
Number : Vol. 55, no. 3
Page : 369 – 382

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DOI :
Qute : Domański, B.M. ,Gnyp, A. ,Shanker, D. ,Zheng, H. ,Majewska, Z. ,Dooge, J.C.I. ,Fleming, S.W. ,Chattopadhyay, S. ,Chattopadhyay, S. , Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India. Acta Geophysica Vol. 55, no. 3/2007
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