基于RBF神经网络的水体富营养化预测
Forecasting The Eutrophication Of Water Based On The RBF Neural Network
采用RBF神经网络建模，对西湖水体富营养化状况进行预测。结果表明，RBF神经网路具有较好的泛化能力，预测精度高，相比于其它神经网络的设计则要简单实用，对水体的富营养化状况可以进行准确的预测。
Forecasting the eutrophication of West Lake with RBF Neural Network. The result indicates that RBF Neural Network has good adapting ability and precision of forecasting and the design of it is more simply than other neural networks. The RBF Neural Network can forecast the eutrophication of water exactly.
杨斌、张艳
环境污染、环境污染防治
RBF神经网络富营养化叶绿素a西湖预测
RBF Neural NetworkEutrophicationhlorophyll-aWest LakeForecasting
杨斌,张艳.基于RBF神经网络的水体富营养化预测[EB/OL].(2007-07-30)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/200707-513.点此复制
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