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环境规划中大气SO_2预测的神经网络模型
引用本文:杨国栋,赵琛瑜.环境规划中大气SO_2预测的神经网络模型[J].干旱区资源与环境,2007,21(9):85-88.
作者姓名:杨国栋  赵琛瑜
作者单位:山西大学环境与资源学院,太原,030006
摘    要:为了对规划期间排入大气的SO2进行有效的控制,本文应用B-P人工神经网络方法建立了山西省运城市各县(区)人口数量、燃煤量、工业总产值和SO2排放量与SO2浓度的规划期综合预测模型,以实现在规划期间对大气的SO2的预测和控制。

关 键 词:神经网络  SO2浓度  预测预报  环境规划
文章编号:1003-7578(2007)09-085-04
收稿时间:2006-08-14
修稿时间:2006-08-14

Artificial Neural Network Model for Sulphur Dioxide Forecasting in Environment Planning
YANG Guo-dong,ZAHO Chen-yu.Artificial Neural Network Model for Sulphur Dioxide Forecasting in Environment Planning[J].Journal of Arid Land Resources and Environment,2007,21(9):85-88.
Authors:YANG Guo-dong  ZAHO Chen-yu
Institution:Environment and Resources College, Shanxi University, Taiyuan 030006, China
Abstract:Forecasting and warning model of relation between sulphur dioxide concentration and population, industrial product value, sulphur dioxide discharging quantity and coal consumed quantity was built for controlling and planning of SO2 discharge to some countries or districts based on the artificial neural networks, so as to predict and control sulphur dioxide concentration in planning periods.
Keywords:artificial neural network  air environment  sulphur dioxide concentration  prediction and warn ing  environmental planning
本文献已被 CNKI 维普 万方数据 等数据库收录!
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