Evaluation of a Country's Sustainable Development

DOI

10.2991/icemct-15.2015.336How to use a DOI?

Keywords

sustainable development, sustainable indexes, GA-BP Neural Network Model

Abstract

We build the GA-BP Neural Network Model to evaluate the sustainability of the country. First we select nine indexes from natural resources, economic strength, human resources and social living environment in total, establish the index system for sustainable development and validate its completeness and independence among indexes. We randomly select ten countries as the sample data and define a mathematical standard for sustainability. We selected Nepal as a sample country to evaluate our model. First we determine trends of the indexes and use Regression Analysis Prediction Method (RAPM) to predict index value for twenty years. Our model’s result indicates that the sustainability of Nepal is poor and the growth speed is low. Then we draw up a 20-year plan for Nepal’s development. Compared with the result of no-plan, the sustainability of Nepal grows faster. According to the prediction, Nepal will become a sustainable country in about 2030.

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  - Zhanxi Zhang
PY  - 2015/06
DA  - 2015/06
TI  - Evaluation of a Country's Sustainable Development
BT  - Proceedings of the 2015 International Conference on Education, Management and Computing Technology
PB  - Atlantis Press
SP  - 1587
EP  - 1590
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-15.2015.336
DO  - 10.2991/icemct-15.2015.336
ID  - Zhang2015/06
ER  -