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基于神经网络的脑电信号诊断专家系统的研究
供稿: 王裕清;张登攀;韩素敏 时间: 2019-05-31 次数:

作者:王裕清;张登攀;韩素敏

作者单位:焦作工学院机械工程系

摘要:在分析一般专家系统特点的基础上,根据当前神经网络的发展状况和主要特点,试图把人工神经网络用于脑电信号诊断专家系统中,并对该系统从知识获取、基本结构设计和智能诊断问题进行了论证和分析,确立了利用神经网络进行诊断的基本准则,同时解决了判断多种脑疾病同时出现的棘手问题,为未来新型专家系统建立提供了新的思路.

基金:河南省自然科学基金资助项目(9911004);

关键词:专家系统;神经网络;脑电分析;智能诊断;

分类号:TP182

Research on expert system of cerebral potentials signals' diagnose based on neural networks

Abstract:Basic clinical diagnosis principles are determined based on the application of neural networks embeded in the expert system of cerebral potentials signals.Having analyzed the ordinary expert system, the development condition and main properties of neural networks is provided, in the meantime, argumentation of recognition, acquisition, fundamental structure design and intelligent diagnosis are also available in order to explain the effectiveness and advandement of the methods.And some insolvable problems that many diseases presented at the same time can be deduced.Therefore, this method shows the new ideas to the new style expert system of the future.

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