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人工神经网络具有自适应、自学习等优点,应用于模拟电路故障诊断检测中,与传统检测方法相结合,可以有效提高故障诊断的准确性与可靠性,对于提高模拟电路故障诊断的准确性与自动化程度具有十分重要的意义。
Artificial neural network has the advantages of self-adaptability and self-learning. It is used in the fault diagnosis and detection of analog circuits and combined with the traditional detection methods, which can effectively improve the accuracy and reliability of fault diagnosis, and improve the accuracy of analog fault diagnosis The degree of automation is of great importance.