Abstract
According to the theory of neural network, a forecasting model of BP neural network is set up on the basis of studying the influencing factors of vehicle population. The forecasting accuracy is improved greatly compared with the gray forecasting model. It is valuable to enact reasonably the resource management policies and establish expropriation counterplan for freight capacity.
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An, Yq., Wang, Yj., Gao, Ww. (2013). Forecasting of Vehicle Capacity Based on BP Neural Network. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38391-5_38
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DOI: https://doi.org/10.1007/978-3-642-38391-5_38
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