| 徐飞，孟沙，吴启南，娄震，陈军，尤敏，陆彩.基于卷积神经网络的人参与西洋参饮片鉴别方法研究[J].南京中医药大学学报(社会科学版),2018,34(6):621-624. |
| 基于卷积神经网络的人参与西洋参饮片鉴别方法研究 |
| Research on the Differentiation of Ginseng Radix and Panacis Quinquefolii Slices Based on Convolutional Neural Network |
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| DOI： |
| 中文关键词: 关键词：人参饮片 西洋参饮片 卷积神经网络 检测方法 识别模式 |
| 英文关键词: Ginseng radix slice Panacis quinquefolii slice convolutional neural network detection method recognition pattern |
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| 中文摘要: |
| 目的 建立用于中药材饮片真伪鉴别的卷积深度神经网络识别系统。方法 构建包含人参与西洋参饮片真伪品的数据集，并通过正交试验对卷积神经网络的学习率、动量系数、批尺寸、权值衰减系数进行优化，确定卷积神经网络区分人参、西洋参饮片的最佳条件。结果 建立基于卷积神经网络的人参与西洋参饮片的鉴别的方法，识别准确率达0.909。结论 本研究采用卷积神经网络图像识别技术建立了人参与西洋参饮片的真伪鉴别方法，适用于人参与西洋参饮片的快速区分。 |
| 英文摘要: |
| OBJECTIVE To establish an automate method for differentiating slices of Ginseng radix and Panacis quinquefolii based on convolutional deep neural network. METHODS A data set containing the authenticity，of Ginseng radix and Panacis quinquefolii slice was constructed， and the learning rate， momentum coefficient， batch size， and weight attenuation coefficient of the convolutional neural network were optimized by orthogonal experiments to determine the convolutional neural network and the best conditions for Ginseng radix and Panacis quinquefolii. RESULTS A method based on convolutional neural network was established to discriminate and differentiate Ginseng radix slice from Panacis quinquefolii slice. The recognition accuracy rate was 0.909. CONCLUSION This study used convolutional neural network image recognition technology to establish a method for the authenticity identification of Ginseng radix and Panacis quinquefolii slices， which is suitable for rapid differentiation of Ginseng radix and Panacis quinquefolii slice. |
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