Research on the Combination Forecasting Method of Logistics Based on BP Neural Network

This paper discussed the role and significance of Logistics forecast. Then classified the methods of Logistics forecast. Having given all the current forecasting methods a comparative analysis, this paper introduced a combination forecasting method based on BP neural network. Taking full advantage of the wide range of learning ability, adaptability of BP neural network, this paper integrated other methods and merited from them, then reached the goal of enhancing the precision and stability of forecasting results. Finally, using an example, it tested the new method and proved its feasibility.