A New Sustainability Index System and Evaluation Model Based on the GA-BP Neural Network Model

DOI

10.2991/ameii-15.2015.283How to use a DOI?

Keywords

Sustainable development; GA-BP neural network model.

Abstract

This paper aims to evaluate the sustainability of the country using mathematical methods. First we select nine indexes from natural resources, economic strength, human resources and social living environment in total to establish the index system for sustainable development and validate the completeness and independence among indexes. We randomly select ten countries as the sample data, and build an evaluation model based on the GA-BP Neural Network Model [1] which has the advantage in assigning weights objectively, and define a mathematical standard for sustainability. The evaluation results of this model is similar to the conclusion of World Bank.

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  - Yiheng He
PY  - 2015/04
DA  - 2015/04
TI  - A New Sustainability Index System and Evaluation Model Based on the GA-BP Neural Network Model
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1533
EP  - 1537
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.283
DO  - 10.2991/ameii-15.2015.283
ID  - He2015/04
ER  -