介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
在人工检测的过程当中，由于人本身存在的缺陷，其视觉往往会存在一定的偏差，这就会造成疵点的误检和漏检。
In the manual testing process, it would create the false detection and undetected defects because the human vision often has a certain bias due to inherent defects in humans.
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