Abstract
The constitution of regional logistics economic environment system has been defined. The concepts of system coupling, coupling development and coupling development degree have been explained. Nonlinear autoregressive model of BP Neural Network is selected as the prediction model for coupling development degree. Coupling development degree of RLEES from 2003 to 2020 has been calculated and predicted by using the data of the Northeastern Region. The programming implementation is in MATLAB. The simulation result shows the logistics delay effect is 2 years. The prediction results showed that the coupling development degree of Northeast LEES is gradually improving with the improvement of economic growth and structural development.
| Original language | English |
|---|---|
| Pages (from-to) | 300-304 |
| Number of pages | 5 |
| Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
| Volume | 23 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- BP neural network
- Coupling
- Coupling development degree
- Regional Logistics Economic Environment System (RLEES)
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