Sustainable Development Evaluation Based on Support Vector Machine and Principle Component Analysis

DOI

10.2991/emim-15.2015.189How to use a DOI?

Keywords

Support Vector Machine Model; PCA Model; Evaluation system; Sustainable development.

Abstract

Sustainable development evaluation is an important theme in sustainable development research. Aim to acurratly measure the sustainability of a country, this paper constructs the comprehensive evaluation system of sustainable development for a country using the Support Vector Machine(SVM) and Principle Component Analysis(PCA) On the basis of analyzing the evaluation indexes. According to this system it evaluates the sustainable development level of eighteen typical countries over the world. Comparing the evaluation result with the conclusion of United Nations shows that this model is effective.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weihua Wang
PY  - 2015/04
DA  - 2015/04
TI  - Sustainable Development Evaluation Based on Support Vector Machine and Principle Component Analysis
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 972
EP  - 976
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.189
DO  - 10.2991/emim-15.2015.189
ID  - Wang2015/04
ER  -