| Hopfield神经网络在机器人路径规划中的应用 |
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| 引用本文： | 张弘. Hopfield神经网络在机器人路径规划中的应用[J]. 西安邮电学院学报, 2009, 14(5): 79-82 |
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| 作者姓名： | 张弘 |
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| 作者单位： | 西安邮电学院信息与控制系,陕西,西安,710121 |
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| 摘 要： | 将Hopfield反馈型神经网络方法,应用于对机器人工作路径的合理规划中,解决了对两两给定通路的若干工作站点,机器人能顺序访问并最终返回起点的最短巡游路径问题。可针对不同的具体问题来设计网络的连接权及能量函数。对8站点和16站点仿真结果表明,此方法可以在较短的时间内寻优获得最佳工作路径。
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| 关 键 词： | Hopfield神经网络 路径规划 机器人 |
Application of the Hopfield network in path planning of robot |
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| ZHANG Hong. Application of the Hopfield network in path planning of robot[J]. Journal of Xi'an Institute of Posts and Telecommunications, 2009, 14(5): 79-82 |
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| Authors: | ZHANG Hong |
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| Affiliation: | ZHANG Hong (Department of Information and Control; Xi＇an University of Posts and Telecommunications; Xi＇an 710121 ,China) |
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| Abstract: | A application of feedback Hopfield network in a path planning for robot is presented, which gives the solution of finding the shortest path for robot to call on and return every work station. Different connection weighting and energy function can be designed according to every actual problem. The simulation results for 8 sites and 16 sites show that a shortest work path can be obtained in a relatively short time. |
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| Keywords: | Hopfield network path planning robot |
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