Utilising key climate element variability for the prediction of future climate change using a support vector machine model

This paper proposes a support vector machine (SVM) model to advance the prediction accuracy of global land-ocean temperature (GLOT), which is globally significant for understanding the future pattern of climate change. The GLOT dataset was collected from NASA's GLOT index (C) (anomaly with base...

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Bibliographic Details

Main Authors:	Abubakar, A., Chiroma, H., Zeki, A., Uddin, M.
Format:	Article
Published:	Inderscience 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/18031/ http://dx.doi.org/10.1504/IJGW.2016.074952
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