The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
第六部分采用一元线性回归、多项式回归、灰色系统G（1，1）模型和组合预测模型对山东省现代物流业未来需求状况进行了中期预测。
This article establish a forecast model of passenger volume in the public transportation by combine with gray system estimate and the BP networks model.
本文将BP网络模型与灰色系统预测方法相结合，建立了公交客流量预测模型。
A good forecast result has been concluded with a topological prediction model of gray system theory based on the observation data of ground water table in Lanxi County.
地下水枯水期水位预报对春季农业生产具有重要意义，利用兰西县地下水水位观测资料，应用灰色系统理论的拓扑预测建立模型进行预测，取得了较好的结。
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