In this paper, the theory and method of fault diagnosis expert system based on artificial neural network are studied, and its realizing process is concretely introduced.
研究了基于神经网络的故障诊断专家系统的理论和方法及具体实现过程。
According to the theory of Artificial Neural Network and Expert system, a design conceit fault diagnosis and dealing system of substation based on Neural Network and Expert system is presented.
根据人工神经网络和专家系统理论，提出了基于人工神经网络和专家系统的变电站故障诊断和处理系统的设计构想。
An improved neural network based on L-M algorithm has been applied to fault diagnosis expert system against to the slow convergence rate of conventional BP neural network.
针对传统BP神经网络训练中收敛速度较慢的缺点，提出一种基于L - M算法的神经网络应用于机械设备故障诊断的专家系统。
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