| 支持向量机法及其在中药研究中的应用 |
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| 引用本文： | 杨岩,肖佳妹,周晋,贺福元,曾慧杰,杨岩涛.支持向量机法及其在中药研究中的应用[J].中草药,2020,51(8):2258-2266. |
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| 作者姓名： | 杨岩 肖佳妹 周晋 贺福元 曾慧杰 杨岩涛 |
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| 作者单位： | 湖南中医药大学药学院, 湖南 长沙 410208;湖南中医药大学 中医药超分子机理与数理特征化实验室, 湖南长沙 410208;湖南中医药大学药学院, 湖南 长沙 410208;中药成药性与制剂制备湖南省重点实验室, 湖南 长沙 410208;湖南中医药大学 中医药超分子机理与数理特征化实验室, 湖南长沙 410208;湖南省林业科学研究院, 湖南 长沙 410004 |
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| 基金项目： | 湖南省重点研发计划项目（2018NK2041）；湖南省教育厅优秀青年基金项目（2015B172）；湖南省中医药科研基金资助项目（201494）；湖南省教育厅一般项目（2015C1039）；湖南省“十二五”省级药学重点学科开放基金项目（1007）；湖南中医药大学化学工程与技术一流学科建设项目 |
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| 摘 要： | 在中医药现代化进程中，有效地结合现代科学技术手段对传统中医药进行更为合理的分析是一个重要研究方向。计算机科学技术与人工智能算法在中医药研究领域已取得长足发展，尤其是分类算法所具有的快速鉴别和分析能力，使其在复杂的中医药研究体系中发挥举足轻重的作用。对支持向量机分类算法及其结合其他算法在解决中医药相关领域问题方面及成果进行综述，以相关智能算法为基础探讨中医药研究过程中的诸多难题，为推动中医药现代化进程提供支撑。
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| 关 键 词： | 分类算法 智能算法 中医药 支持向量机 模式识别 |
| 收稿时间： | 2019/12/13 0:00:00 |
Research on classification algorithm based on support vector machine in Chinese materia medica |
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| YANG Yan,XIAO Jia-mei,ZHOU Jin,HE Fu-yuan,ZENG Hui-jie,YANG Yan-tao.Research on classification algorithm based on support vector machine in Chinese materia medica[J].Chinese Traditional and Herbal Drugs,2020,51(8):2258-2266. |
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| Authors: | YANG Yan XIAO Jia-mei ZHOU Jin HE Fu-yuan ZENG Hui-jie YANG Yan-tao |
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| Affiliation: | College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China;Laboratory of Supramolecular Mechanism and Mathematic-Physics Characterization for Chinese Materia Medica, Hunan University of Chinese Medicine, Changsha 410208, China;College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China;Hunan Key Laboratory of Druggability and Preparation of Chinese Medicine, Changsha 410208, China;Laboratory of Supramolecular Mechanism and Mathematic-Physics Characterization for Chinese Materia Medica, Hunan University of Chinese Medicine, Changsha 410208, China;Hunan Academy of Forestry, Changsha 410004, China |
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| Abstract: | In the course of the modernization of traditional Chinese medicine, the more reasonable analysis of the traditional Chinese medicine is an important research direction in combination with the modern scientific and technological means. The rapid development of the computer science and technology and the artificial intelligence algorithm in the field of traditional Chinese medicine research, especially the rapid identification and analysis ability of the classification algorithm, can play a very important role in the complex Chinese medicine research system. This paper reviews the support vector machine classification algorithm and its application and results in combination with other algorithms to solve the problems in the traditional Chinese medicine research, explore the application of the related intelligent algorithm in solving the problems in the research of traditional Chinese medicine, and provide support for promoting the modernization of Chinese medicine. |
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| Keywords: | classification algorithm intelligent algorithm traditional Chinese medicine support vector machine pattern identification |
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