摘要
测定了苯酚、苯胺、α萘胺、间二硝基苯及对氧基苯甲醛混合体系的紫外光谱，用神经网络法直接对混合体系紫外光谱数据进行处理，成功地测定了混合体系各组分含量。
Artificial neural networks(ANN) and ultraviolet visible spectroscopy(UVS) were used for multivariat calibration and resolution. In this paper, ANN and UVS were applied to simultaneous determination of five aromatic compounds, including phenol(PO), phenylamine(PA), α naphthylamina(NA),m dinitrobenzene(DN), p methoxylphenylaldehyde (MA). Good results were obtained with average recovery being 103.26% for the test set samples.
出处
《分析科学学报》
CAS
CSCD
1996年第2期121-124,共4页
Journal of Analytical Science
基金
日本政府文部省
国家教委
机械部及国家自然科学基金
关键词
神经网络
反传算法
紫外光谱
芳香族化合物
Neural Networks, Modified backpropagation, Ultravoilet visible spectroscopy, Multicomponent anaysis
Aromatic compounds
