基于B-P神经网络的城市大气SO_2浓度预测(英文)

• 作者: 姚建 王丽梅 袁野
• 来源期刊: 气象与环境研究：英文版
• 学科: 地球科学
• 年，卷（期）: 2010,（11）
• 页码范围: 9-11
• 页数: 3页
• 分类号: X83

摘要

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 atmospheric SO2 concentration 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.