CAJ | 학술논문

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。并进一步讨论了人工神经网络的结构及参数对分析结果的影响。
이이추대갑기우담광(DBM-SA)위현색제，응용화학계량학중인공신경망락원리，결합분광광도법，대흡수광보엄중중첩적시조오개원소불경분리가직접진행동시측정。대합금강시양중시조오개원소적개별함량급시조총량적측정，결과령인만의。병진일보토론료인공신경망락적결구급삼수대분석결과적영향。
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.