An artificial neural network model for weather forecasting in Bhopal

Weather prediction is an ever challenging area of investigation for scientists. In this paper the application of artificial neural networks to predict the weather of Bhopal city has been proposed. The weather parameters like maximum temperature, minimum temperature and relative humidity etc. has been predicted. When performing predictive modeling the key criteria is always accuracy. We are trying to predict future weather condition based upon above parameters by Artificial Neural Network. The model performance is contrasted with Multi layered perceptron network. The proposed network is trained with actual data of the 5 years (2005-2010) of Madhya Pradesh, Bhopal and tested which comes from meteorological department. ANN is used with ID3 for rule extraction.