An approach for prediction of weather by using feed-forward neural networks

Predicting the weather is tough, and rainfall forecasting is even more difficult. Rainfall prediction is crucial in the agriculture industry. It is important to estimate rainfall accurately in order to avoid heavy rain and to provide information about natural disaster alerts. Machine learning models have been seen to perform well in the prediction of weather, so those models are used to provide precise and accurate forecast results. In this article, the feed-forward neural networks are used to predict rainfall. The suggested article achieves 92 percent accuracy when applied to UGC dataset.