Prediction of Humidity using Multi Linear Perceptron and Support Vector Machine North Twenty-four Parganas , West Bengal

Prediction of Humidity using Multi Linear Perceptron and Support Vector Machine North Twenty-four Parganas, West Bengal

Rupam Sardar1, Sudip Ghosh2,Bimal Datta3

1Budge Budge Institute of Technology, Kolkata – 700137,India

2Indian Institute of Engineering Science and Technology, Botanical Garden Area, Howrah, West Bengal 711103

3Budge Budge Institute of Technology, Kolkata – 700137, India

Abstract:

The ability to predict the weather is necessary for lifesaving. Weather prediction has important applications in transportation, agriculture, floods, and other natural phenomena. For weather forecasting to be accurate, air pressure prediction is essential. Among the methods available for Air Pressure prediction is multiple linear regression. To ascertain the relationship between one independent variable and one dependent variable The linear regression model is a very useful tool in statistics. An expansion of the linear regression model is multiple linear regression. To add variables to our experiment, we used MATLAB. Predicting air pressure is crucial to weather forecasting. We have selected Kolkata, or more precisely the Dum Dum Metropolitan area in North 24 Parganas, for the purpose of forecasting rainfall.

Keyword: Humidity prediction, Multi Layer Perceptron Model, Support Vector Machine,Root Mean Square