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提出了一种新的成组算法—用神经网络中感知器模型来解决成组问题,此方法有较强的学习能力与容错能力,同时,它能直接给出瓶颈零件.
A new algorithm of grouping is proposed, which is to solve the problem of grouping using the sensor model of neural network. This method has strong learning ability and fault tolerance, and at the same time, it can directly give bottleneck parts.