运用人工神经网络法评价中药威灵仙的质量

Quality Assessment of the Chinese Traditional Drug Weilingxian by Artificial Neural Network

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.