兵团农产品物流需求预测研究

Study on Forecasting of Agricultural Produce Logistics Demand of Xinjiang Construction Corps

探讨了兵团农产品物流发展现状、存在问题及其制约因素。运用灰色模型和神经网络两种方法对兵团农产品物流需求进行预测,并进行了组合预测,具有一定的实际意义。

In this paper, we discussed the current status, existing problems and restricting factors of the agricultural produce logistics of the Xinjiang Construction Corps, then used the grey model and neural network to forecast the demand for agricultural produce logistics by the Corps, and at the end, performed a combination forecasting which was of certain practical significance.