现代电子技术2011，Vol.34Issue(13)：145-148,4.
基于小波分解和SVM的城市大气污染浓度预测
Model of Urban Air Pollution Concentration Forecast Based on Wavelet Decomposition and Support Vector Machine
陈伟 1吴介军 1段渭军2
作者信息
- 1. 西北工业大学自动化学院，陕西西安 710072
- 2. 西北工业大学电子信息学院，陕西西安 710072
- 折叠
摘要
Abstract
A forecasting model of air pollutant concentration in urban areas was established in combination with a method of wavelet transform and support vector machine. First, series of air pollutant concentrations were decomposed into several different frequency decomposed series by the wavelet decomposition and reconstruction. Secondly, the decomposed series were predicted with different independent prediction models. Finally, the predicted results from every decomposition series were integrated as the final prediction result of the concentration The results show that the forecast accuracy is better than the RBF neural network model and the general support vector machines.关键词
小波分解；支持向量机；神经网络；大气污染预测Key words
wavelet decomposition/ support vector machine/ neural network/ air pollution forecast分类
信息技术与安全科学引用本文复制引用
陈伟,吴介军,段渭军..基于小波分解和SVM的城市大气污染浓度预测[J].现代电子技术,2011,34(13):145-148,4.
