Author(s)

Yingyi Huang, Weibin Lin

Corresponding Author

Weibin Lin

ABSTRACT

With the rapid development of economic globalization and informatization, rapid growth of logistics causes the imbalance between logistics supply and demand. Hence, it is critical to make the accurate logistics demand forecast for the sustainable and sound development of logistics. To achieve that, a nonlinear combinatorial model is constructed for the forecast of the regional logistics based on BP neural network. And the results show that this model with the relatively strong nonlinear mapping ability and comparatively accurate predictive effect provides decisions for logistics planning.

KEYWORDS

BP neural network, Nonlinear, Logistics demand, forecast