RAINFALL PREDICTION THROUGH INTEGRATED MA - ANN MODEL
Abstract
Rainfall prediction has great significance in planning and understanding the rainfall variability that helps the agricultural management in decision-making process. In this research paper, the traditional data pre-processing technique, moving average was coupled with Artificial Neural Network as MA – ANN model to improve the prediction of rainfall in Tamilnadu. The experimental results show that the MA – ANN hybrid model is a better tool than the Moving Average and ANN models, if they applied separately.
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