Application and Result Analysis Comparison of Based on MLP Neural Network and Econometric Models in Logistics Demand Forecasting

Logistics demand forecasting is the key step in logistics system planning. It is not only providing the important data support to design and estimation step, but also provide science basis to providing logistics supply, site-selection and scale ascertain of logistics nodes. Based on MLP artificial neural network model is wildly applied in logistics demand forecasting, through the application and result analysis based on MLP neural network model in logistics demand forecasting. It is contrast to the application of Econometric forecasting model from the side of another model to push out the excellence of based on MLP neural network model applied in logistics demand forecasting.