Multi-linear Regression Model for Weather Prediction in North 24 Parganas, IN

To predict humidity is a challenging task that needs a study for predicting weather for any parameters. Artificial Neural Network and Linear Regression algorithms can be used to predict weather parameters. The novel architecture of multi-linear regression (MLR) network is used to realize better performance. Weather prediction is very much important for protecting lives. Weather prediction is an important application area for agriculture, transportation, flood, and other natural phenomena. Temperature prediction is also needed for weather prediction. There are many methods we can apply to predict temperature and here it is multi-linear regression model. For establishing relationship between dependent and independent variable, MLR model is very useful in statistics. Humidity prediction is required for weather forecasting. Here, we have taken Kolkata, more precisely Dum Dum Metropolitan in North 24 Parganas for rainfall prediction. We have studied other parameters of atmospheric prediction. After getting the coefficient we have got the targeted and calculated temperature including error correction.