竞争网络在中医舌诊中的应用及实现  

Competition Nerve Network Applied in Tongue Inspection of Tradition Chinese Medicine and Its Implementation

作　　者：周玉[1] 汪仁煌[1] 韦玉科[1] 范江涛[1] 

机构地区：[1]广东工业大学自动化学院,广州510090

出　　处：《微计算机信息》2007年第21期270-272,共3页Control & Automation

基　　金：国家自然科学基金项目(项目批准号:30472122)

摘　　要：自组织竞争神经网络通过对网络权值的调整,使所有矢量都在输入矢量空间相互隔离,形成了各自代表输入空间的一类模式,从而实现聚类功能。在中医舌诊推理的研究过程中,我们建立了基于竞争神经网络的辨识模型,利用该系统对病位和病机进行推断和识别。在分析了Visual C++和Matlab各自特点的基础上,提出了利用Visual C++与Matlab混合编程来实现竞争神经网络的应用这一方法。该程序的界面是由VC++实现的,而神经网络的所有功能是通过调用Matlab引擎的方法实现的,这样做可充分利用Matalb和Visual C++各自的优点,实现更多的功能。实验结果表明该方法是可行和有效的。Self-organizing competitive neural network can make the weights separate mutually through the adjustment of the input weight, and the weights can represent different models in different space, so the input can be clustered by the self-organizing competitive neutral net. In the research process of tongue inspection of tradition Chinese medicine, a discriminate mode of neural network with competitive unit was built. We use this mode carry on the inference and discrimination to the disease location and the pathogenesis. On the bases of characteristics of Visual C＋＋ and Matlab, we proposed mixed programming between VC＋＋ and Matlab. Then put forward using this method to realize the competition neural networks processing and application. The interface of the program is implemented by VC＋＋, and the neural network functions are implemented by Matlab engine. The method of mixed programming is most suitable, and we can make use of Matlab and Visual C＋＋ respective merits, realizes more functions. The result is testiffed to be feasible and effective.

关 键 词：竞争神经网络 辨识模型 混合编程 引擎 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]