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文章基本信息

  • 标题:Surface Water Quality Evaluation Using BP and RBF Neural Network
  • 本地全文:下载
  • 作者:Luan, Qinghua ; Zhu, Changjun
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2011
  • 卷号:6
  • 期号:12
  • 页码:2528-2534
  • DOI:10.4304/jsw.6.12.2528-2534
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:It is very important to evaluate water quality in environment protection. Water environment is a complicated system, traditional methods can not meet the demands of water environment protection. In view of the deficiency of the traditional methods, a BP neural network model and a RBF neural network model are proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 10 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is practically feasible in tha application of water quality assessment and its operation is simple.
  • 关键词:-water quality;RBF neural network;BP neural network;evaluation
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