|
|||||
|
|
| 西安市空气污染指数的神经网络预测模型 | |
| 引用本文： | 郭庆春,何振芳,李力.西安市空气污染指数的神经网络预测模型[J].河南科学,2011,29(7):863-868. |
| 作者姓名： | 郭庆春 何振芳 李力 |
| 作者单位： | 1. 陕西广播电视大学教务处,西安,710068 2. 中国科学院寒区旱区环境与工程研究所,兰州,730000 3. 中国科学院地球环境研究所,西安,710075 |
| 基金项目： | 国家自然科学基金项目，国家重点基础研究发展规划(973)项目 |
| 摘 要： | 将BP神经网络模型引入到大气污染预测预报领域,利用西安市2005-2010年逐日空气污染指数,建立了一个空气污染指数的非线性时间序列神经网络模型.实验结果表明:独立样本的日空气污染指数的预测值的平均相对误差分别为27.4%,23.2%,12.2%,25.7%,独立样本的日空气污染指数的预测值与真实值的线性相关系数高.该... |
| 关 键 词： | 空气污染指数 神经网络 大气污染 时间序列 |
A Neural-Network-Based Forecating Model for Air Pollution Index in Xi'an |
|
| Guo Qingchun,He Zhenfang,Li Li.A Neural-Network-Based Forecating Model for Air Pollution Index in Xi'an[J].Henan Science,2011,29(7):863-868. | |
| Authors: | Guo Qingchun He Zhenfang Li Li |
| Institution: | 1.Shaanxi Radio & TV University,Xi’an 710068,China; 2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China; 3.Institute of Earth Environment Research,Chinese Academy of Sciences,Xi’an 710075,China) |
| Abstract: | The BP(Back Propagation)neural network forecast method is introduced in air pollution prediction and the nonlinear time serial neural network prediction model for air pollution index in Xi’an is established.The historical data of API from 2005 to 2010 of Xi’an city was applied to neural network.The research results show:the average relative errors of API between forecating and the monitoring are separately 27.4 %,23.2 %,12.2 %,25.7 %.The corelation between results of forecating and the monitoring is very wel1.This model is applied to air pollution forecast with high precision and good generalization ability. |
| Keywords: | air pollution index neural network atmospheric pollution time serial |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |