JACIII Vol.23 No.2 pp. 300-304
doi: 10.20965/jaciii.2019.p0300

Short Paper:

Prediction and Demonstration of Coupling Development for Regional Logistics Economic Environment System

Jinxin Yao* and Man Ye**

*Rongcheng College, Harbin University of Science and Technology
No.2006 College Road, Rongcheng, Shandong 264300, China

**School of Management, Harbin Institute of Technology
No.92 Dongdazhi Street, Harbin, Heilongjiang 150001, China

June 11, 2018
August 20, 2018
March 20, 2019
Regional Logistics Economic Environment System (RLEES), BP neural network, coupling, coupling development degree

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.

Trends of coupling development degree

Trends of coupling development degree

Cite this article as:
J. Yao and M. Ye, “Prediction and Demonstration of Coupling Development for Regional Logistics Economic Environment System,” J. Adv. Comput. Intell. Intell. Inform., Vol.23 No.2, pp. 300-304, 2019.
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Last updated on Jul. 19, 2024