摘要
铈组稀土元素的吸收光谱严重重叠,应用人工神经网络原理结合分光光度法,对铈组五个元素不经分离同时测定各自含量,实现了合成样品和合金钢样品中个别含量和铈组总量的测定,并进一步讨论了人工神经网络的结构和参数对结果的影响。
In this paper,an artificial nerual network-spectrophotometry method for simultaneous determination of each content and the total content of cerium subgroup rare earths in alloy steel samples with a new chromogenic reagent dibromo-p-methyl-bromosulfonazo （DBMBSA） was studied. The effect of the network structure and the network parameters on the analytical results are discussed. The results are accurate and the network performs satisfactorily.
出处
《稀土》
EI
CAS
CSCD
北大核心
2005年第5期85-89,共5页
Chinese Rare Earths
基金
上海工程技术大学青年基金资助课题(2002Q10)
关键词
铈组稀土元素
人工神经网络光度法
多组分同时测定
cerium subgroup rare earth elements
artificial neural network-spectrophotometry
multi--component simultaneously determination
