English

应用科学学报 ›› 1996, Vol. 14 ›› Issue (3): 364-368.

• 论文 • 上一篇    下一篇

神经网络显色光度法用于镧系稀土的同时测定

李志良1,2, 余般梅3, 刘亚风1, 酒井诚2, 石乐明1, 李梦龙1   

  1. 1. 湖南大学;
    2. 日本国立技科大;
    3. 国防科学技术大学
  • 收稿日期:1994-08-01 修回日期:1995-05-03 出版日期:1996-09-30 发布日期:1996-09-30
  • 作者简介:李志良:教授,湖南大学化学化工系,长沙 410082
  • 基金资助:
    国家自然科学基金、国家机械部科研基金,国家教委留学回国人员基金和日本政府文部省资助课题

NEURAL NETWORKS AND CHELATING SPECTROPHOTOMETRY FOR SIMULTANEOUS DETERMINATION OF FIFTEEN RARE EARTH ELEMENTS

LI ZHILIANG1,2, YU BANMEI3, LIU YAFENG1, SAKAI M.2, SHI YUEMING1, LI MENGLONG1   

  1. 1. Husan University;
    2. University of Technology, Tryohashi Japan;
    3. Changsho Instittute of Technology
  • Received:1994-08-01 Revised:1995-05-03 Online:1996-09-30 Published:1996-09-30

PDF

58

被引次数

6

摘要： 研究了神经网络(NN)反传算法及其在光谱分辨中的应用.借三溴偶氮氯膦(TBCPA)为显色剂,以光度法同时测定15种稀土元素,相对误差一般小于5%(RSD ≤ 5%),表明结果良好.

关键词: 神经网络, 显色光度法, 稀土同时测定

Abstract: Neural networks(NN) and multiwavelength spectroscopy were investigated systematically for multicomponent analysis. In this paper, neural networks and chelating spectrophotometry were applied to multivariate calibration and spectral resolution. The neural networks(NN) were trained by ordinary propagation(OBP) and the modified propagation(MBP). The chelating photometric reagent was selected as tribromochlorophosphanazo(TBCPA). The proposed sensitive spectrophotometry combined with the propagation neural networks (BPNN) was used for the simultaneous determination of 15 rare earth elements with good results. The relative standard divrations were leas than and about equal to 5%, RSD ≤ 5%, in general. It was shown that the neural networks can be used as a novel powerful chemometric technique for multicomponent analysis, especially for multivariate calibration and spectral resolution.

Key words: neural networks, backpropagation, rare earth elements, chelating spectrophotometry, Multivariate resolution and calibration, Chemometrics