Weather Forecasting using ANN and PSO
Asis Kumar Tripathy, Suvendu Kumar Mohapatra, Shradhananda Beura, Gunanidhi Pradhan · 2011
Abstract — Weather prediction is basically based upon the historical time series data. The basic parameters of weather prediction are maximum temperature, minimum temperature, rainfall, humidity etc. In this paper we are trying to predict the future weather condition based upon above parameters by Artificial Neural Network and Particle Swarm Optimization Technique. The basic Data mining operations are employed to get a useful pattern from a huge volume of data set. Different testing and training scenarios are performed to obtain the accurate result. Experimental results indicate that the proposed approach is useful for weather forecasting.