摘要
提出用人工神经网络方法评价中药威灵仙的质量,对一组标样的研究结果表明,识别成功率达100%。同时,该方法具有较强的容错能力和较快的识别速度。
The artificial neural network was used for the assessment of a group of Chinese traditional drug Weilingxian (the roots of Clematis). The results showed a successful rate of 100%. This approach has better fault-tolerance ability and grester speed of prediction.
出处
《中国中药杂志》
CAS
CSCD
北大核心
1993年第9期518-520,共3页
China Journal of Chinese Materia Medica
关键词
威灵仙
人工神经网络
反向传播模型
Weilingxian
artificial neural network
back-propagation model