Temperature Prediction System Using Back propagation Neural Network : An Approch

This paper utilizes artificial neural networks for temperature forecasting. Our study based on back propagation neural network which is trained and tested based on dataset provided. In formulating the ANN-based predictive model; three-layer network has been constructed. Suitable air temperature predictions can provide farmers and producers with valuable information when they face decisions regarding the use of mitigating technologies such as orchard heaters or irrigation. The research presented in this thesis developed artificial neural networks models for the prediction of air temperature. In this paper, back propagation neural network is used for temperature forecasting. The technical milestones, that have been achieved by the researchers in this field has been reviewed and presented in this paper. From the past decades there are various models are developed for weather forecasting using artificial neural network, and by using soft computing, which are discussed in this paper. Artificial neural networks and the back propagation algorithm used for temperature forecasting in general are explained.