基于 BP 神经网络模型的中国污染减排预警系统  

Warning System of China’s Pollution Emission Reduction Based on BP Neural Network Model

作　　者：包丽颖[1] 关婧 张琴[1] 赵小鹭 邓文生[1] 郁亚娟 

机构地区：[1]北京理工大学化工与环境学院,北京 [2]密歇根大学土木与环境工程学院,安娜堡,美国

出　　处：《可持续发展》2011年第2期35-39,共5页Sustainable Development

摘　　要：为应对我国污染减排预警平台缺失的局面,本文应用BP 神经网络预测技术,构建适合污染减排预警模型的预警指标体系,界定预警模型的警限和警情,建立了科学的污染减排预警系统。通过预警结果和应用研究分析,表明预警系统能够合理预测我国污染减排情况,为污染减排工作决策提供向导,督促污染减排薄弱省份加快减排步伐。In the face of the absence of the early warning of pollution emission reduction, the article uses the forecasting technology of BP Neural Network, establishes the warning index system of pollution emission reduction, defines warning limits and warning status of the early warning model, and establishes the early warning system of pollution emission reduction. The early warning results and application analyses show that the system can reasonably predict the situation of pollution emission reduction and provide guidance and urgencies for the provinces.

关 键 词：污染减排 预警系统 BP 神经网络 

分 类 号：F2[经济管理—国民经济]