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模糊神经网络分析方法用于心肌缺血诊断的研究

The Research on the Application of Fuzzy Neural Network Analysis in Myocardial Ischemia's Diagnosis
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摘要 介绍一种神经网络———模糊推理协作系统 .神经网络有很好的学习能力和准确拟合任意非线性函数的能力 .模糊模型将专家知识转换到神经网络中 ,然后把它应用于诊断系统 ,从而使得心血管疾病 (心肌缺血 ) A type of neural network combined with fuzzy logic is introduced in this paper, which is a fuzzy reasoning and cooperation system. With its outstanding self?study ability, neural network can effectively fit any nonlinear function and its neuron realizes two fuzzy functions for fuzzy processing. Expert's knowledge is summarized and embodied in the structure of neural network. Applied into electrocardiogram diagnosis system and trained by lots of data, our neural network with fuzzy model is adjusted to meet the actual diagnosis result and has got satisfactory effects. With great improvement in diagnosis precision of heart disease, e.g., myocardial ischemia, the system may benefit people in future clinic diagnosis.
出处 《南京大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第1期1-6,共6页 Journal of Nanjing University(Natural Science)
基金 江苏省应用基础基金 (BJ990 5 0 ) 江苏省自然科学基金 (BK2 0 0 0 0 14)
关键词 模糊神经网络 心肌缺血 心电图 诊断 模糊模型 fuzzy neural network, myocardial ischemia, electrocardiogram
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