基于人工神经网络技术构建中医思维模型的研究

Research on Construction of Thinking Model of Traditional Chinese Medicine Based on Artificial Neural Network Technology

目的针对人工神经网络技术与中医思维的学科交叉,归纳主要应用方向和思路结合通用模型。方法通过近5年国内相关北核科学文献总结、技术归纳、通用模型提炼,并结合当前数学模型、计算机技术发展。结果通过归纳总结出近年人工神经网络技术与中医思维结合的主要应用方面:一是思维拟合性结合模型,二是技术性支持结合模型。学科交叉结合后,要注重计算机拟合中医思维的理解内涵、神经网络算法的掌握、实验的设计、数据的处理等方面因素。结论神经网络技术与中医思维都具有弱解释性和明确输入和输出数据关系。所以可以通过神经网络去拟合中医思维中的观察、分析和认知的过程。神经网络技术可以构建人、社会、自然等因素与生命、健康和疾病等问题的关系模型。有利于中医客观化的发展。

Objective In view of the interdisciplinary intersection of artificial neural network technology and traditional Chinese medicine(TCM)thinking,this paper sums up the main application direction and thinking combined with the general model.Methods In the past five years,the relevant literature,technology and general model of north nuclear science were summarized,combined with the current development of mathematical model and computer technology.Results The main application aspects of the combination of artificial neural network technology and TCM thinking in recent years were summarized.One was the combination model of thinking fit,and the other was the combination model of technical support.After the interdisciplinary combination,we should pay attention to the understanding connotation of computer fitting TCM thinking,the mastery of neural network algorithm,the design of experiment,data processing and other factors.Conclusion Both neural network technology and TCM thinking have weak explanatory and clear relationship between input and output data.So we can use neural network to fit the process of observation,analysis and cognition in TCM thinking.Neural network technology can build the relationship model of human,social,natural factors and life,health,disease and other issues.It is conducive to the development of objectification of traditional Chinese medicine.