Weather forecasting using ANN with error backpropagation algorithm

Abstract

Weather forecasting is very necessary for making strategic plans and executing daily tasks in multiple application areas like airport, agriculture, electricity, water reservoir, tourism, and daily life. Accurate prediction of weather conditions is the challenge in front of meteorological departments. Many techniques such as data mining, k-means, decision tree, etc. have been used to predict the weather. The technique presented in the paper uses artificial neural network with error back propagation. Here we generate weather forecast for next day. The results are obtained in acceptable range of accuracy. ANN suits best classification technique that works on complex systems like Weather forecasting, in which datasets are nonlinear. The forecasting model used is limited to only certain geographical area which comes under Mumbai, India.