The Optimal Solution to the Development of Water Resources Influencing Factors Based on GRNN and the Genetic Algorithm Model: Case of Tianjing

DOI

10.2991/mecae-18.2018.26How to use a DOI?

Keywords

Optimal solution; GRNN; The Genetic Algorithm

Abstract

According to GRNN ,the paper find the network of the relationship between geographical, economic and environmental factors and its influencing factors .According to the genetic algorithm, we detect four indicators influencing mainly the ability among the 9 indicators. Our plan of intervention aims to reduce the impact of these four factors on ability to develop Water Resource in the future. Finally, according to our plan of intervention, we can get the best conditions of all indicators in the future.

Copyright

© 2018, 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  - Keke Fang
PY  - 2018/03
DA  - 2018/03
TI  - The Optimal Solution to the Development of Water Resources Influencing Factors Based on GRNN and the Genetic Algorithm Model: Case of Tianjing
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 144
EP  - 147
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.26
DO  - 10.2991/mecae-18.2018.26
ID  - Fang2018/03
ER  -