Application of Data Mining Based on Neural Networks in Ozone Concentration Forecast

摘要：

BP neural network which was trained using Bayesian Regularization method based on mass monitoring data and meteorological variable was used to forecast the hourly average concentration of O3 Sample data classification according to seasons was used to improve the predictions. The results show that data mining based on Neural Networks has good prediction precision.

关键词： neural network O3 air pollution forecasting data mining BP network

作者: QIN Xia SU Jingzhi MA Mintao MA Mintao WANG Fangfang

作者单位: College of Environment and Energy Engineering,Beijing University of Technology,Beijing 100124,China

会议类型: 国际会议

会议名称: 2009 International Symposium on Environmental Science and Technology(2009环境科学与技术国际会议)

会议地点: 上海

会议语种:英文

页码: 744-746

在线出版日期: 2009-06-02（万方平台首次上网日期，不代表论文的发表时间）