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人工神经网络在苏州空气污染预报中的应用
引用本文:白晓平,张启明,方栋,洪维民,刘峰磊,王芬娟.人工神经网络在苏州空气污染预报中的应用[J].科技导报(北京),2007,25(3):45-49.
作者姓名:白晓平  张启明  方栋  洪维民  刘峰磊  王芬娟
作者单位:清华大学核能与新能源研究院,清华大学核能与新能源研究院,清华大学核能与新能源研究院,苏州环境监测中心站,苏州环境监测中心站,意大利国家研究委员会大气污染研究所,清华大学核能与新能源研究院 北京100084,北京100084,北京100084,江苏苏州215004,江苏苏州215004,罗马,意大利,北京100084
摘    要:人工神经网络在预测预报领域的应用越来越广泛。简单介绍了BP神经网络的基本原理,较详细地回顾了国内BP神经网络在空气污染预报领域的研究应用情况,并建立了苏州市区SO2浓度预报的BP神经网络,预报结果表明:该模型具有简便、快速、准确的优点,可推广用于其它空气污染物的预报。

关 键 词:空气污染预报  工神经网络  BP神经网络
文章编号:1000-7857(2007)03-0045-05
修稿时间:11 24 2006 12:00AM

Application of Artificial Neural Network to Air Pollution Prediction in Suzhou City
COSTABILE Francesca,BAI Xiaoping,ZHANG Qiming,FANG Dong,HONG Weimin,LIU Fenglei,COSTABILE Francesca,WANG Fenjuan.Application of Artificial Neural Network to Air Pollution Prediction in Suzhou City[J].Science & Technology Review,2007,25(3):45-49.
Authors:COSTABILE Francesca  BAI Xiaoping  ZHANG Qiming  FANG Dong  HONG Weimin  LIU Fenglei  COSTABILE Francesca  WANG Fenjuan
Institution:1. Institute of Nuclear and Energy Technology, Tsinghua University, Beijing 100084, China ;2. Suzhou Environmental Monitoring Centre, Suzhou 215004, Jiangsu Province,China; 3. Institute of Atmospheric Pollution, Italian National Research Council, Rome, Italy
Abstract:The artificial neural network has been widely used in the forecast and prediction due to the development of its theorectical basis and computer technology. The basic principle of BP neural network is briefly introduced, and the applications of BP neural network to air pollution prediction in China are reviewed in detail. It is applied to predict SO2 concentration in Suzhou, and it is shown that BP neural network is easy to implement and gives quite accurate results, and that it can also be used to predict other air pollutants such as PM10, NOx, and so on.
Keywords:air pollution prediction  artificial neural network  BP neural network
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