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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。
An artificial neural network method was used to evaluate the quality of the Chinese traditional medicine Clematis. The results of a set of standard samples showed that the recognition success rate reached 100%. At the same time, this method has stronger fault tolerance and faster recognition speed.