安徽农业科学2011，Vol.39Issue(7)：4278-4280,3.
基于B-P神经网络的城市大气SO2浓度预测
Prediction of SO2 Concentration in Urban Atmosphere Based on B - P Neural Network
王丽梅 1袁野 2姚建1
作者信息
- 1. 四川大学建筑与环境学院,四川 成都 610065
- 2. 四川省成都市环境监测中心站,四川 成都 610072
- 折叠
摘要
Abstract
Base on the principle and method of B - P neural network, the prediction model of SO2 concentration in urban atmosphere was established by using the statistical data of a city in southwest China from 1991 to 2009, so as to forecast SO2 concentration in urban atmosphere in a city of southwest China. The results showed that B - P neural network applied in the prediction of SO2 concentration in urban atmosphere was reasonable and efficient with high accuracy and wide adaptability, so it was worthy to be popularized.关键词
B-P神经网络/城市大气SO2浓度/预测模型Key words
B - P neural network/ SO2 concentration in urban atmospheric/ Prediction model分类
资源环境引用本文复制引用
王丽梅,袁野,姚建..基于B-P神经网络的城市大气SO2浓度预测[J].安徽农业科学,2011,39(7):4278-4280,3.
