Open AccessWeather Prediction Using Multi Linear Regression Algorithm
Author(s) -
N. Anusha,
Muthyala Sai Chaithanya,
Guru Jithendranath Reddy
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/590/1/012034
Subject(s) - support vector machine , computer science , weather prediction , linear regression , regression , weather forecasting , machine learning , data mining , artificial intelligence , linear prediction , numerical weather prediction , statistical learning , algorithm , meteorology , statistics , mathematics , geography
Weather forecasting is one of the applications of science and technology, used to predict the weather condition depending on the input attributes. Most of the existing systems are implemented using statistical approaches for Support Vector Machine (SVM), which are incapable of giving the accurate prediction as they cannot capture sudden changes in weather conditions. The proposed technique uses the concept of Multi-Linear regression which can produce better results than existing methods.