[关键词]
[摘要]
提出中药质量的人工神经网络评价方法,并对中药厚朴按其气相色谱分析得到的各组分相对含量,运用该方法作了尝试,成功率达100%。结果表明,神经网络方法性能好,可望成为中药质量评价的有效手段。
[Key word]
[Abstract]
An artificial neural network method for quality estimation of traditional Chinese medicine was suggested, and quality of Hou-Po was estimated by the proposed method in comparison with the analytical results of gas-liquid chromatography. The successful rate reached 100%. The results showed that the neural network method is reliable, and therefore may be referred to as an effective technique for the quality estimation of traditional Chinese medicine.
[中图分类号]
[基金项目]