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基于BP神经网络的耳穴信息智能识别系统
引用本文:石晓东,朱兵,王嘉赋,仲远明,邢剑秋,俞明,胡智慧.基于BP神经网络的耳穴信息智能识别系统[J].中国生物医学工程学报,2001,20(6):541-544.
作者姓名:石晓东  朱兵  王嘉赋  仲远明  邢剑秋  俞明  胡智慧
作者单位:1. 南京大学生物医学物理研究所,
2. 江苏省人民医院,
基金项目: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。

关 键 词:BP神经网络  耳穴电信息  智能识别  病例搜索

INTELLIGENCE RECOGNIZING SYSTEM OF INFORMATION OF HUMAN AURICULAR POINTS BASED ON BP NEURAL NETWORK
Shi Xiaodong ,Zhu Bing ,Wang Jiafu ,Zhong Yuanming ,Xing Jianqiu ,Yu Ming ,Hu Zhihui.INTELLIGENCE RECOGNIZING SYSTEM OF INFORMATION OF HUMAN AURICULAR POINTS BASED ON BP NEURAL NETWORK[J].Chinese Journal of Biomedical Engineering,2001,20(6):541-544.
Authors:Shi Xiaodong  Zhu Bing  Wang Jiafu  Zhong Yuanming  Xing Jianqiu  Yu Ming  Hu Zhihui
Institution:Shi Xiaodong 1,Zhu Bing 1,Wang Jiafu 1,Zhong Yuanming 2,Xing Jianqiu 2,Yu Ming 2,Hu Zhihui 2
Abstract: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.
Keywords:BP neural network  Electric information of auricular points  Intelligence recognizing  Searching for cases of illness
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