%0 Journal Article
%T A method of characteristic LIF spectral signatures separation based on radial basis function networks<br>基于径向基函数网络的激光诱导荧光特征光谱分离算法
%A LI Hong-bin
%A Liu Wen-Qing
%A Zhang Yu-Jun
%A Ding Zhi-Qun
%A Zhao Nan-Jing
%A WEI Qing-nong
%A Wang Yu-Ping
%A Yang Li-Shu
%A <br>李宏斌
%A 刘文清
%A 张玉钧
%A 丁志群
%A 赵南京
%A 魏庆农
%A 王玉平
%A 杨立书
%J 物理学报
%D 2005
%I 
%X The separation of characteristic spectral signatures plays an important role in the laser induced fluorescence (LIF) system used for monitoring dissolved organic matter (DOM) in polluted water,which has advantages of high sensitivity,fast detection,remote measurement,etc. In this paper,a method of characteristic spectral signatures separation based on radial basis function networks (RBFN) will be presented. Using this method,we separated the spectral components of laser,Raman and fluorescence of DOM from the LIF spectral. The concentration of DOM in polluted water can be retrieved from the separated spectrums.
%K radial basis function networks
%K laser induced fluorescence
%K dissolved organic matter<br>径向基函数网络，
%K 激光诱导荧光，
%K 溶解有机物
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=15285E9469E2E28E&yid=2DD7160C83D0ACED&vid=318E4CC20AED4940&iid=9CF7A0430CBB2DFD&sid=9697D376D2B97B43&eid=DBB79E58457C559E&journal_id=1000-3290&journal_name=物理学报&referenced_num=6&reference_num=8