Once the neural network training has finished, it can diagnose not only the shown faults but also some faults never shown in some extent because of its fault tolerance.
由于其具有容错性，训练好神经网络不仅能诊断出已经出现过的故障，还能在一定范围内诊断出从未出现过的故障；
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
The neural network gives first place to simulating parallel processing in large scale, with strong character of robustness, fault tolerance and studies ability independently.
神经网络以大规模模拟并行处理为主，具有很强的鲁棒性、容错性和自学能力。
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