| 基于BP神经网络的移动机器人路径规划 |
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| 引用本文： | 朱云国,周松林. 基于BP神经网络的移动机器人路径规划[J]. 煤矿机械, 2007, 28(8): 42-44 |
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| 作者姓名： | 朱云国 周松林 |
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| 作者单位： | 铜陵学院,安徽,铜陵,244000;铜陵学院,安徽,铜陵,244000 |
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| 摘 要： | 对BP神经网络算法进行了改进,克服了直接使用神经网络算法进行路径规划的不足之处。仿真表明,设计了附加动量项的BP神经网络,能有效地提高算法的收敛速度。最后在MAT-LAB中给出了在有静止和运动障碍物的动态环境中路径规划仿真结果,结果表明此方法是可行的。
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| 关 键 词： | 移动机器人 路径规划 BP神经网络 附加动量项 |
| 文章编号： | 1003-0794（2007）08-0042-03 |
| 修稿时间： | 2007-04-05 |
Path Planning for Mobile Robot Based on BP Neural Network Algorithm |
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| ZHU Yun-guo,ZHOU Song-lin. Path Planning for Mobile Robot Based on BP Neural Network Algorithm[J]. Coal Mine Machinery, 2007, 28(8): 42-44 |
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| Authors: | ZHU Yun-guo ZHOU Song-lin |
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| Affiliation: | Tongling College, Tongling 244000, China |
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| 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 efficiently improve this algorithm in convergence speed. At last, mobile robot dynamic path planning simulation is carried out in the environment with immobile and mobile obstacle, the simulation result indicates that the method is feasible. |
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| Keywords: | mobile robot path planning BP neural network accessional momentum |
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