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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Inderscience
2016
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/18031/ http://dx.doi.org/10.1504/IJGW.2016.074952 |
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