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

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.