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大气环境质量综合评价的B-P网络模型
引用本文:李祚泳,邓新民. 大气环境质量综合评价的B-P网络模型[J]. 重庆环境科学, 1994, 0(6)
作者姓名:李祚泳  邓新民
作者单位:成都气象学院电子勘测系
摘    要:选取大气环境质量的三级标准作为3个学习样本,以SO_2,NO_x和TSP三种污染物的三级标准浓度限值作为样本的输入特征值,建立了三参数的B-P网络大气环境质量综合评价模型,用该模型对31个测点的大气环境质量进行评价,并与模糊数学和灰色系统法的评价结果比较,表明B-P网络用于大气环境质量评价具有优越性。

关 键 词:人工神经网络;大气质量评价;B-P算法

A COMPREHENSIVE ASSESSMENT MODEL OF ATMOSPHERIC ENVIRONMENT QUALITY BASED ON B-P NEURAL NETWORK
Li Zuoyong, Deng Xinmin. A COMPREHENSIVE ASSESSMENT MODEL OF ATMOSPHERIC ENVIRONMENT QUALITY BASED ON B-P NEURAL NETWORK[J]. Chongqing Environmental Science, 1994, 0(6)
Authors:Li Zuoyong   Deng Xinmin
Abstract:In this paper,Taking the three classes criteria of atinospherie envi-ronment qt1aIity as modelling salnples,a comprehet1slve assessnlent model of atmos-pheric environment quality based on three parameters B-P neural network,which selects the three classes criteria concent ration limit values of SO2,NOx and TSP as input characteristic values of samples,is presented.Verificat lon for 31 examples of use and cotnparison with fuzzy mathematics and grey system assessment method demons-trate the superiority of B-P neural network model of atmospheric quality assess-ment.
Keywords:Vieurai network B-P algorithem Atmospberic quality assessment
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