基于人工神经网络的中药威灵仙质量评价研究
[Quality assessment of the Chinese traditional drug weilingxian by artificial neural network].
作者信息
Cai Y D, Gong J W, Can J R, Yai L S
机构信息
Shanghai Institute of Metallurgy, Academia Sinica.
出版信息
Zhongguo Zhong Yao Za Zhi. 1993 Sep;18(9):518-20, 573.
PMID:8011104
Abstract
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.
摘要
人工神经网络被用于对一组中药威灵仙（铁线莲的根）进行评估。结果显示成功率为100%。这种方法具有更好的容错能力和更快的预测速度。
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