Weather Forecasting Using Artificial Neural Network

Accurate weather forecast plays a vital role in today's world as agricultural and indusrial sectors are principally dependent on weather conditions.It is also used to forecast and warm about natural disasters.Weather forecasting is determination of the right values of weather parameters and furhermore the future weather condition based on these parameters.In this study different weather parameters were collected from national climate data center then using Long-short term memory(LSTM) technique,the neural network is trained for different combinations. In prediction of future weather condition using LSTM the neural network is trained using different combinations of weather parameters,the weather parameters used are temperature, precipitation, wind speed,pressure, dew point visibility and humidity. After training of LSTM model using these parameters the prediction of future weather is done.