中医辨证的智能系统模型  

Intelligent System Model of Differentiation of Syndromes in TCM

作　　者：孙占全[1] 西广成[1] 易建强[1] 李海霞[2] 

机构地区：[1]中国科学院自动化研究所复杂系统与智能科学重点实验室,北京100080 [2]中医研究院广安门医院,北京100053

出　　处：《系统仿真学报》2007年第10期2318-2320,2391,共4页Journal of System Simulation

基　　金：国家973计划项目(2003CB517106);科技部国际合作重点项目(2004DFB02100)

摘　　要：随着科学技术的发展,人们的认识不断提高。人们却发现事物变得越来越复杂,事物之间存在复杂的关系,很难用精确的数学模型来表达。中医是一门传统科学,目前对中医还没有一个完全的认识。辨证论治是中医理论的核心,辨证过程是个非常复杂的过程,没有一个严格的规则可以遵循。针对中医通过学习和积累经验进行辨证的过程,利用以往中医专家辨证的临床案例,从神经行为学和认知心理学角度出发,提出了用Boltzmann机神经网络进行中医辨证的智能系统模型。With the development of technology, the cognition of people is improved greatly. But people come to find that the world becomes more and more complicated. Many things have complicated relationship among them. It is difficult to express the relations with rigorous mathematic models. Traditional Chinese Medicine （TCM） is a complicated classical science. So far, it has not been completely understood yet. Selection of treatment according to differentiation of syndromes is the kernel theory of TCM. It is a complicated process and no rigorous rules can be depended. An intelligent system model based on Boltzmann machines in the view of neurobehavior and recognition psychology was developed to simulate experts to diagnose syndromes. The system is to simulate the learning and experience accumulating process. The system should be trained with expert＇s clinic data.

关 键 词：BOLTZMANN机 智能系统 相对熵 辨证 

分 类 号：TP389.1[自动化与计算机技术—计算机系统结构]