Main Article Content
Abstract
The use of machine learning is spreading vastly in several domains like the health care industry, video analytics, weather forecasting, etc. It is becoming relevant to almost all aspects of human activity from just recording events to research, design, production and digital services or product delivery to the final consumer. In this work, the application of machine learning is investigated in the field of weather prediction. The weather prediction data is collected from various sources such as radar, ships, ground observation, internet, etc. It contains the necessary information for the prediction of weather. Further, in this work, Recurrent Neural Networks (RNN) and Long-Term Short-Term Method (LSTM) are used for accurate prediction of weather data. Experimental results show that the RNN method gives more accurate results in comparison to other neural networks.