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讨论了一种用神经网络来实现自动装配规划的方法。这种方法首先利用优先约束知识来表示所有产品零件的装配先后关系，然后利用Ｈｏｐｆｉｅｌｄ神经网络来求解满足此优先约束条件的最佳的产品装配序列，最后给出仿真结果。
A method of using neural network to automate the assembly planning is discussed. This method first uses the knowledge of prioritized constraints to represent the assembly relationship of all the product parts. Then, Hopfield neural network is used to find the best product assembly sequence that satisfies the priority constraints. Finally, the simulation results are given.