BP神经网络模型在DOCUMENTUM平台运输量需求预测的构建与实现

Construction and Realization of BP Neural Network Model in Transport Demand Forecasting on the DOCUMENTUM Platform

研究了在DOCUMENTUM平台下的BP神经网络的时间序列模型,针对石油企业生产物资的运输量做了预测,完成了BP神经模型的构建、预测结果的分析及预测模块与内容管理平台的验证。

This paper investigates into the time sequencing model of the BP neural network on the DOCUMENTUM platform, forecasts the transport volume of production materials, establishes a BP neural model, analyzes its forecasting results and checks the forecasting modules and content management platform.