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

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

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