人工神经网络在中医证候研究中的应用

The Use of Artificial Neural Network in the Research of Traditional Chinese Syndrome

人工神经网络是一种新型的数据挖掘技术,它是将整体论与还原分析方法有机结合的研究复杂系统的有效方法,能够有效处理复杂系统中杂乱无章的海量数据,并能够在海量数据中寻找模式,寻找规律,归纳隐含在信息单元之间的关联规则。中医证候体系是一个非线性的、多维多阶的、可以无限组合的复杂巨系统。采用人工神经网络技术挖掘大样本所蕴含的海量信息,从而建立中医证候诊断模型,可能是解开当前证候研究的僵局、取得实质突破的有效方法。

The artificial neural network is one kind of new data miningtechnology, it is the method that explores - complex systemem on the base of combining the whole method with the return to originalstate analysis method. It can effectively process the chaotic magnanimous data in the complex system, and it can seek the pattern,the rule and the connection among the information units in the magnanimous data. The system of traditional chinese syndrome is a great non -linear, multi- dimensional and complex system. Thus the artificial neural network technology may be an effective method to excavate the magnanimous information and establish the diagnosis model of traditional chinese syndrome, so it is possibly helpful to extricate the current difficult position in the research of traditional chinese syndrome.