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Information fusion based on neural network expert system in fault diagnosis system of biochemical analyzer

机译:生化分析仪故障诊断系统中基于神经网络专家系统的信息融合

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In the fault diagnosis field, the artificial intelligent information fusion technology is becoming an important research subject in recent years, which combines the artificial intelligence technology with the multi sensor information fusion, and is beneficial to solve the information fusion of inexact and uncertain information greatly, therefore the method of information fusion based on neural network, intelligent and expert system, become an important development direction. The article has introduced the research status and the existing problems of the fusion method which based on the expert system and the neural network. After a analysis and comparison between the expert system and the neural network, it would overcome their shortcomings and get better results by combining the two. As an application, it combined the neural network expert system for fusion method with specific medical diagnostic equipment — biochemical analyzer, and got the right trouble result by making a simulation experiment.
机译:在故障诊断领域,人工智能信息融合技术已成为近年来的重要研究课题,将人工智能技术与多传感器信息融合相结合,极大地解决了不确定性和不确定性信息的融合问题,因此,基于神经网络,智能专家系统的信息融合方法成为重要的发展方向。本文介绍了基于专家系统和神经网络的融合方法的研究现状和存在的问题。经过专家系统与神经网络的分析比较,克服了它们的缺点,将两者结合起来,可获得更好的结果。作为应用,它将融合方法的神经网络专家系统与特定的医学诊断设备-生化分析仪相结合,并通过进行模拟实验获得了正确的故障结果。

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