可持续发展

Vol.1 No.2 (July 2011)

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 , 关婧 , 张琴 , 赵小鹭 , 邓文生 , 郁亚娟

 

关键词:

污染减排预警系统BP 神经网络Pollution Emission Reduction Early-Warning System BP Neural Network

 

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.

文章引用:

包丽颖 , 关婧 , 张琴 , 赵小鹭 , 邓文生 , 郁亚娟 (2011) 基于 BP 神经网络模型的中国污染减排预警系统。 可持续发展, 1, 35-39. doi: 10.12677/sd.2011.12006

 

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