Abstract：Improves the BP neural network algorithm，so the shortage of path —planning with the ． BP neural network algorithm is overcomed ．The simulation results indicate that on the bases of accessional momentum method can eficiently improve this algorithm in convergence speed．At last，mobile robot dynamic path plan— ning simulation is carried out in the environment with immobile and mobile obstacle．the simulation result indi— cates that the method is feasible.

基于BP神经网络的移动机器人路径规划.pdf

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