神经网络应用于工程机械故障诊断的研究

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神经网络的数学算法可将样本的输入输出转变为非线性优化算法。工程机械由若干系统组成,其神经网络的故障诊断器由相应的故障分类器构成,利用判决规则进行故障判断。 The neural network’s mathematical algorithm transforms the input and output of the sample into a nonlinear optimization algorithm. Construction machinery consists of a number of systems, fault diagnosis of its neural network by the corresponding fault classifier, the use of decision rules for fault diagnosis.
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