支持向量机与中药研究

Support vector machine and Chinese materia medica research

近年来越来越多的人工智能技术开始在中药研究领域得到应用并取得令人鼓舞的成果。支持向量机是近十余年发展起来的人工智能技术,包含了最大间隔超平面、Mercer核、凸二次规划、稀疏解和松弛变量等多项技术,它的出现弥补了以往技术的不足并表现出很强的发展与应用潜力。中药现代化研究完全可以借助支持向量机的研究成果开创一片新的天地。尽管如此,支持向量机在中药研究领域的应用仍然不多见,一方面可能与支持向量机理论正处在发展上升的阶段有关,另一方面则可能是由于该项技术在中药研究的这片处女地上埋藏着巨大应用潜力,尚未引起人们的足够重视。总结近年来支持向量机在中药研究领域应用的基础上,讨论目前存在的问题,展望未来的发展趋势,探讨可能的应用方向,并以此激励更多的研究力量参与其中。

Recently more and more artificial intelligent technologies have been applied in the researches of Chinese materia medica （CMM） and some results have been gained. Support vector machine （SVM） is a new artificial intelligent technology that has been developed in the latest ten years, including a lot of technologies, such as the largest interval hyperplane, Mercer＇s nuclear, convex quadratic programming, sparse solution, slack variable and so on. Comparing to the previous ones, this technology is more advanced and has powerful potential development and application worth. The modernization studies of CMM will probably approach a new way to thrive based on the development of SVM. At this time some farsighted researchers have been studying on it. However, the application of SVM in CMM research is not widespread. This may point to the fact that the theory of SVM is developing. On the other hand, the importance of SVM, as a powerful tool to CMM research, has not been realized. This article is trying to summarize the current application of SVM in CMM researches. Its potential application in the future has been discussed and more researchers who could participate in this study will be expected.