摘要
应用三层ANN-BP网络解析苯丙氨酸(Phe)、色氨酸(Try)和酪氨酸(Tyr)的紫外可见吸收光谱,同时测定三种氨基酸组分。通过对网络结构和参数的优化,提高了预报的准确度,最后对水解大豆样品进行测定,得到了满意的结果。
In this paper, a three-layer artificial neural network along with ultroviolet spectrophotometry has been applied to simultaneous determination of phenylalanine, tyrosine and tryptophan. By optimizing the network structure and parameters, the predication accuracy was enhanced. The method was used for simultaneous determination of mixed amino acids in soybean hydrolysate samples with satisfactory results.
出处
《光谱实验室》
CAS
CSCD
2006年第5期1109-1112,共4页
Chinese Journal of Spectroscopy Laboratory
关键词
人工神经网络
分光光度法
氨基酸
Artificial Neural Network, Spectrophotometry, Amino Acid.