Feed forward neural networks combined with extreme learning machine approach for large weather data

FEED FORWARD NEURAL NETWORKS COMBINED WITH EXTREME LEARNING MACHINE APPROACH FOR LARGE WEATHER DATA Weather forecasting is the application of recent technology and science to find out the state of atmosphere for the purpose of determining the future. The precise weather forecasting is significant in today's world because the sectors like agriculture and industries will depend on it. As the weather condition is dynamic and non-linear process, the proposed method addresses the artificial neural network to classify and predict the weather conditions and it is one of the best methods comparing to conventional methods. The neural network models will help to support the various training or learning algorithm. To train the neural network, the back propagation is one of the important algorithms for weather forecasting.