Integrated soft computing approach for modeling rainfall prediction in Tamilnadu

Rainfall forecasting is one of the most imperative and demanding operational responsibilities carried out by meteorological services all over the world. The task is complicated since all decisions are to be taken in the visage of uncertainty. In this article, the traditional data pre-processing technique, moving average is coupled with Artificial Neural Network as MA - ANN to improve the prediction of rainfall in Tamilnadu. The experimental results shows that the approach of combining the techniques provides a robust modeling framework and produces more accurate results when compared to the accuracy achieved by either of models applied separately.