Neural network is used widely in many fields as it' s strong self-adapting, self-learning and error tolerance abilities, with which image recognition is implemented.
由于神经网络技术具有很强的自适应性、学习性和容错性，因此被广泛应用于各个领域。
The artificial neural network model with capacity of error-tolerance can improve the reliability considerably.
具有容错能力的人工神经网络结构，可以提高人工神经网络的可靠性。
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。
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