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, Adamu, Haruna, Chiroma, Zeki, Akram M., Uddin, Mueen
Format: Article
Language:English
English
Published: Inderscience Enterprises Ltd 2016
Subjects:
Q350 Information theory
Online Access:http://irep.iium.edu.my/49995/
http://irep.iium.edu.my/49995/1/IJGW090201_ABUBAKAR.pdf
http://irep.iium.edu.my/49995/4/49995_Utilising%20key%20climate%20element%20variability%20for%20the%20prediction%20of%20future%20climate_Scopus.pdf

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