基于神经网络的某仓储库气体质量预测系统

Position based on BP network prediction of air quality

为了提高部队后勤系统中的信息化管理,探讨了旅团一级如何将BP神经网络方法引入到对某物资仓储库的空气质量预测工作中。着重介绍了BP神经网络以及具体实现步骤,并进行了预测数值和仪器实测数据之间的对比实验,从而为仓储库内人员物资安全研究提供了一种行之有效的新方法。

This article describes the forces of information technology in the brigade level to the BP neural network method is introduced to the database storage of a material to predict the air quality work, highlighting the BP neural network and the specific implementation steps, and the forecast value and monitoring instruments to fit the measured data comparison. The results show that error control to a lesser extent, so as to personnel health and safety monitoring provides an effective new way.