基于BP神经网络的耳穴信息智能识别系统  

INTELLIGENCE RECOGNIZING SYSTEM OF INFORMATION OF HUMAN AURICULAR POINTS BASED ON BP NEURAL NETWORK

作　　者：石晓东[1] 朱兵[1] 王嘉赋[1] 仲远明[2] 邢剑秋[2] 俞明[2] 胡智慧[2] 

机构地区：[1]南京大学生物医学物理研究所,南京210093 [2]江苏省人民医院,南京210029

出　　处：《中国生物医学工程学报》2001年第6期541-544,共4页Chinese Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目 ( 39370 85 7) ;江苏省科委资助项目 (BJ 970 33)

摘　　要：本文介绍用BP网络建立耳穴信息的智能识别系统 ,其设计原理和方法融合了经络、脏腑理论与模式识别理论。并用该系统通过识别人体耳穴电学特征量筛检上消化道癌。本文中用该模型作胃病例样本识别试验获得了较好的结果。此项工作对于癌症防治有重要意义 ,同时也为现代科学与传统中医学的结合开辟了一条新路。BP network was used to set up an intelligence recognizing system of information of human auricular points which was designed based on the principles and methods of theory of channels and collaterals and that of pattern recognition. The upper-digestive-tract cancer could be distinguished by recognizing the electric-characteristic variables of human auricular points with the system. Test to identify the case samples of the stomach achieved good result. This study was of great significance for prevention and cure of cancer, and opened up a new way to combine modern science with traditional Chinese medicine.

关 键 词：BP神经网络 耳穴电信息 智能识别 病例搜索 

分 类 号：R318.04[医药卫生—生物医学工程] R224.2[医药卫生—基础医学]