摘要
本文把反向传播(B-P)神经网络运用于生物样品——冠心病患者对照组(健康人)血液中微量金属元素的综合分析,预报识别率达100％,结果表明,该方法性能良好,可作为生物样品分析与疾病诊断的一种有效的辅助手段。
The contents of metal elements in the blood of patients of the coronary heart diseases and the normal persons were determined by the back-propagation neural networks. The results show that the neural network model is good, and therefore, the model might be referred as an effective technique for the analysis of biological samples and diseases diagnosis.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
1992年第8期885-887,共3页
Chinese Journal of Analytical Chemistry
关键词
冠心病
人工神经网络
金属元素
Coronary heart diseases
Artificial neural network
Back-propagation model
Metal elements.
