Research on the Examination Technology of Pollution toward Groundwater Aromatic Hydrocarbon Based on RBFNN

摘要：

This text introduced in detail the design of aromatic hydrocarbon content examination modeled in the groundwater based on Radial Basis Function Neural Network (RBFNN).As for the examination of aromatic hydrocarbon content in water, there have various methods, the infrared absorption photometry is most in common use, this text did a synopsis introduction towards the basic theories-Lambert-Beer laws in the material quantitative analysis of the infrared absorption photometry,and puts forward the basic model of system measurement. Owing to the characteristics of basic model itself, be to its complement, puts forward the RBFNN model of system measurement in this text, the result of system test confirmed the usefulness of this kind of model.

关键词： aromatic hydrocarbon infrared absorption photometry RBFNN

作者: ZHAO Ruiming QIAN Dongping

作者单位: Mechanical and Electrical College,Hebei Agriculture University,Baoding,P.R.China,071001

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 214-217

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）