Prediction of Rainfall Using Artificial Neural Network

Abstract

Rainfall prediction is an important and challenging task in meteorology. Rainfall is predicted using different models with their combination, observation, trends of knowledge and patterns. Rainfall can be predicted using various machine learning techniques. In this paper, Artificial Neural Network (ANN) such as Feed Forward Neural Network (FFNN) model is built for predicting the rainfall. Artificial neural networks (ANN) are the valuable and attractive soft computing method for prediction. ANN is based on self-adaptive mechanism in which the model learns from historical data capture functional relationships between data and make predictions on current data. The accurate prediction of rainfall is a major criterion for managing the water resources. The prediction accuracy is measured using confusion matrix and RMSE. The results show that the prediction model based on ANN indicates acceptable accuracy.