Weather Predictions using Support Vector Machine and Rough Set
Suvendra Kumar Jayasingh1, Jibendu Kumar Mantri2
1Mr. Suvendra Kumar Jayasingh, PhD scholar in Computer Science and IT in North Orissa University, Baripada. India.
2Jibendu Kumar Mantri*, Department of Computer Application, North Orissa University, Baripada, India.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 5513-5516 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4202129219/2019©BEIESP | DOI: 10.35940/ijeat.B4202.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Climate modelling and weather prediction, the application of science and technology to predict the state of the atmosphere for a given location is a challenging task for the researchers in this modern age.Now-a-days the soft computing techniques have been evolved which can be used for the prediction of weather with more accuracy and less errors. But, Soft computing technique is a new approach to construct computationally intelligent systems that are supposed to possess humanlike expertise within a specific domain, adapt themselves and learn to do better in changing environments. Hence, this paper tries to analyze soft computing techniques i.e Rough Set and SVM for weather prediction of Delhi and reveals that Rough set exhibits promising result that SVM.
Keywords: Support Vector Machine, Rough Set.