摘要
以二溴对甲基偶氮磺 ( DBM- SA)为显色剂 ,应用化学计量学中人工神经网络原理 ,结合分光光度法 ,对吸收光谱严重重叠的铈组五个元素不经分离可直接进行同时测定。对合金钢试样中铈组五个元素的个别含量及铈组总量的测定 ,结果令人满意。
In this paper, an artificial neural network spectrophotometric method for the simultaneous determination of cerium subgroup rare earth elements in steels with a new chromogenic reagent, dibromo p methylsulfonazo(DBM SA) is studied. The effects of the network structure and the network parameters on the analytical results are discussed. The results show that this method is accurate and the network performs satisfactorily.
出处
《分析科学学报》
CAS
CSCD
北大核心
2001年第3期193-197,共5页
Journal of Analytical Science
基金
中国科学院计算机化学开放实验室基金
关键词
铈组稀土元素
人工神经网络
合金钢
分光光度法
多组分同时测定
Cerium subgroup rare earth elements
Artificial neural network spectrophotometry
Multi Component Simultaneously determination
