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径向基函数网络在平原河网水质评价中的应用
引用本文:丁涛,郑君,于普兵. 径向基函数网络在平原河网水质评价中的应用[J]. 浙江水利水电专科学校学报, 2007, 19(2): 1-3
作者姓名:丁涛  郑君  于普兵
作者单位:浙江省水利河口研究院,浙江,杭州,310020
摘    要:利用MatLab神经网络工具箱构建了径向基函数神经网络(RBF-ANN)模型,并用于平原河网和水库的水质评价.该模型以国家地表水环境质量标准(GB 3838-2002)为依据,随机生成网络的训练样本集,对网络进行学习,并将训练好的网络模型应用于温黄平原河网和境内水库的水质评价.结果表明,基于径向基函数网络的水质评价模型是合理、简便和快速的.

关 键 词:径向基函数网络  水质评价
文章编号:1008-536X(2007)02-0001-03
修稿时间:2007-01-10

A Radial Basis Function Artificial Neural Network Model for Water Quality Evaluation in Plain River Network
DING Tao,ZHEN Jun,YU Pu-bin. A Radial Basis Function Artificial Neural Network Model for Water Quality Evaluation in Plain River Network[J]. Journal of Zhejiang Water Conservancy and Hydropower College, 2007, 19(2): 1-3
Authors:DING Tao  ZHEN Jun  YU Pu-bin
Affiliation:Zhejiang Institute of Hydraulic and Estuary, Hangzhou 310020, China
Abstract:A radial basis function artificial neural network(RBF-ANN) for water quality evaluation of plain river network and reservoir is constructed by using MATLAB program.The RBF-ANN model is trained through the stochastic samples produced by national aquatic environment quality standard(GB 3838-2002).A case of the Wenhuang plain river network in Taizhou city is studied.The results indicate that the model is reasonable,convenient and effective.
Keywords:MATLAB
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