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环境质量综合评价的径向基函数网络模型
引用本文:郭宗楼,刘 肇.环境质量综合评价的径向基函数网络模型[J].环境科学研究,1997,10(4):1-5.
作者姓名:郭宗楼  刘 肇
作者单位:武汉水利电力大学,武汉 430072
摘    要:建立了一个环境质量综合评价的径向基函数人工神经网络(RBF-ANN)模型,同时提出了一种简便?快速的RBF-ANN的最小二乘算法(RBF-LS算法)?在城市环境质量综合评价的应用中表明,提出的RBF-ANN模型及其算法是合理?有效?通用的? 

关 键 词:环境质量    综合评价    人工神经网络    径向基函数
收稿时间:1996/12/2 0:00:00

A RBF Artificial Neural Network Model for the Comprehensive Environmental Quality Evaluation
GUO Zonglou and LIU Zhaoyi.A RBF Artificial Neural Network Model for the Comprehensive Environmental Quality Evaluation[J].Research of Environmental Sciences,1997,10(4):1-5.
Authors:GUO Zonglou and LIU Zhaoyi
Institution:Wuhan University of Hydraulic and Electric Engineering, Wuhan 430072
Abstract:A model for the comprehensive environmental quality evaluation has been constructed through using a three layer forward radial basis function artificial neural network (RBF ANN),and a least squares estimation algorithm for RBF ANN, i.e. RBF LS algorithm, has also been developed. The resultsrelated to the environmental quality evaluation for a certain city show that the model and its algorithm are reasonable, effective and in common use.
Keywords:Environmental quality  Comprehensive evaluation  Artificial neural network  Radial basis function
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