A Survey on Support Vector Machines and Artificial Neural Network in Rainfall Forecasting

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Kolluru Venkata Nagendra, Dr. Y. Jahnavi, N. Haritha

Abstract

The Rain Fall Forecasting is very necessary for agriculture based countries. To increase the productivity of Crop, utilization of water and to avoid the problems of floods needs to know the Rain Fall prediction. In previous years the prediction was done by the statistical methods, but these methods not give the proper results. Now the researchers move from the traditional methods to classification methods. The classification method Artificial Neural Networks (ANN) and Support Vector Machines (SVM) yields accurate results in Rain Fall Forecasting. This paper gives the complete survey on (ANN) and SVM for Forecasting the Rain Fall. In this study clearly explains the issues involved in predicting the Rain Fall.

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How to Cite
, K. V. N. D. Y. J. N. H. (2017). A Survey on Support Vector Machines and Artificial Neural Network in Rainfall Forecasting. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 3(11), 20–24. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/259
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