The Optimal Solution to the Development of Water Resources Influencing Factors Based on GRNN and the Genetic Algorithm Model: Case of Tianjing
- Keke Fang
- Corresponding Author
- Keke Fang
Available Online March 2018.
- https://doi.org/10.2991/mecae-18.2018.26How to use a DOI?
- Optimal solution; GRNN; The Genetic Algorithm
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018) PB - Atlantis Press UR - https://doi.org/10.2991/mecae-18.2018.26 DO - https://doi.org/10.2991/mecae-18.2018.26 ID - Fang2018/03 ER -