| 运用人工神经网络法评价中药威灵仙的质量 |
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| 引用本文： | 蔡煜东,宫家文,甘骏人,姚林声. 运用人工神经网络法评价中药威灵仙的质量[J]. 中国中药杂志, 1993, 18(9): 518-520 |
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| 作者姓名： | 蔡煜东 宫家文 甘骏人 姚林声 |
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| 作者单位： | 中国科学院上海冶金研究所 200050(蔡煜东，宫家文，甘骏人)，中国科学院上海冶金研究所 200050(姚林声) |
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| 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。
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| 关 键 词： | 威灵仙 人工神经网络 反向传播模型 |
| 收稿时间： | 1992-08-03 |
Quality Assessment of the Chinese Traditional Drug Weilingxian by Artificial Neural Network |
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| Cai Yudong; Gong Jiawen; Can Junren; Yal Lin shen. Quality Assessment of the Chinese Traditional Drug Weilingxian by Artificial Neural Network[J]. China Journal of Chinese Materia Medica, 1993, 18(9): 518-520 |
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| Authors: | Cai Yudong Gong Jiawen Can Junren Yal Lin shen |
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| 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. |
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| Keywords: | Weilingxian artificial neural network back-propagation model |
| 本文献已被 CNKI 等数据库收录！ |
