摘要
应用误差反向传播学习算法（ＢＰ算法）对中药材雷公藤和昆明山海棠浸出物的红外光谱进行分类识别。网络为３层结构，输入节点为９个，隐层节点为２１个，输出节点为１。分类结果与ＸＩＭ－ＣＡ法基本一致。此外，本文还考察了网络参数间的相互关系。
A BASIC program for the simulation of artificial
neural networks was implementedon a 386SX. For classification and
recognition of infrared(IR) spectra of extracts by means of aneural
network, a back propagation model with one hidden layer and a sigmoid
transfer function hasbeen proved to be available. The nine features
selected by the Shannon information content were usedas input
elements. The hidden layer contains 21 nodes and the output layer
contains one node.
出处
《药学学报》
CAS
CSCD
北大核心
1995年第2期127-132,共6页
Acta Pharmaceutica Sinica
