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本文利用HOPFIELD神经网络，对机器人动态调度中的近似指派问题提出了合理的神经网络表示方法，给出了网络的能量函数表示法及神经元状态方程，从而得出了机器人动态调度中近似指派问题的快速求解策略，满足了动态调度的实时性要求．本文从理论上论证了所提算法的收敛性．软件仿真结果表明，本文提出的近似指派问题网络求解方法是有效的，计算结果是满意的．
In this paper, using HOPFIELD neural network, a reasonable neural network representation method is proposed for the approximate assignment problem in the dynamic scheduling of robots. The energy function representation of the network and the neuron equation of state are given. The approximate assignment problem in the dynamic scheduling of the robot Fast solution strategy to meet the real-time dynamic scheduling requirements. This paper proves the convergence of the proposed algorithm in theory. The simulation results show that the method proposed in this paper is effective for solving network problems with approximate assignment problem, and the calculation results are satisfactory.