| 西安市PM2.5时空分布模型研究 |
| |
| 引用本文： | 黄国健,陈永当,陈博敏,胡婷婷.西安市PM2.5时空分布模型研究[J].环境科学与管理,2014,39(9):64-66. |
| |
| 作者姓名： | 黄国健 陈永当 陈博敏 胡婷婷 |
| |
| 作者单位： | 西安工程大学,陕西西安,710048 |
| |
| 基金项目： | 陕西省科学技术研究发展计划项目 |
| |
| 摘 要： | 由基于时间序列的神经网络与BP神经网络构成一个二级神经网络模型.首先用基于时间序列的神经网络来构造模型,在每个监测站运用基于时间序列的神经网络模型得到一PM2.5的预测值P1,PM2.5与地理坐标之间无根本联系,只与相应地理坐标的环境因子有关,故用BP神经网络建立预测值P1与实测值P的模型,从而得到预测值P2,即通过构建二级神经网络得到PM2.5时空分布模型,然后对P2与P求均方差根RMSE进行检验.
|
| 关 键 词： | PM2.5 环境因子 二级神经网络 预测 |
Research on Space-time Distribution Model of PM2.5 in Xi'an |
| |
| Huang Guojian,Chen Yongdang,Chen Bomin,Hu Tingting.Research on Space-time Distribution Model of PM2.5 in Xi'an[J].Environmental Science and Management,2014,39(9):64-66. |
| |
| Authors: | Huang Guojian Chen Yongdang Chen Bomin Hu Tingting |
| |
| Institution: | 1.Xi＇an Polytechnic University, Xi＇an 710048, China;) |
| |
| Abstract: | This study constructed a secondary neural network model which is consisted of a neural network based on time series and a BP neural network.Firstly,predicted data P1 from the Neural network based on time series were obtained.Then the predicted data P2 from the BP neural network were concluded.The result can be tested by RMSE. |
| |
| Keywords: | PM2 5 environmental factors secondary neural network prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
