AN EFFICIENT MODEL FOR SEASONAL PREDICTABILITY ON NORTH EAST MONSOON USING MULTILAYER PERCEPTRON

The metrological data mining is a method of data mining technique which is used to finding the hidden patterns inside the widely available weather data. Climate change can affect many sectors, like agriculture, water resources, and tourism. So, the early prediction of rainfall plays a crucial role in India. The objective of this research work, to forecast the North East Monsoon Rainfall for the next three years in particular regions of Tamil Nadu. This paper collects a real-time rainfall dataset under five regions Coimbatore, Erode, Tirupur, Dindigul, and Theni between 2009 and 2018 in Tamil Nadu. Rainfall data are collected from the metrological department and Tamil Nadu government websites. Artificial Neural Networks is a very admired and one of the most widely used techniques for rainfall forecasting. Multilayer Perceptron algorithm is used to predict the North East Monsoon Rainfall.