| 基于模糊神经网络的双目视觉定位系统研究 |
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| 引用本文： | 刘仲民,李战明.基于模糊神经网络的双目视觉定位系统研究[J].计算机工程与设计,2010,31(3). |
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| 作者姓名： | 刘仲民 李战明 |
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| 作者单位： | 兰州理工大学,电信学院,甘肃,兰州,730050 |
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| 基金项目： | 甘肃省科技攻关基金项目 |
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| 摘 要： | 针对移动机器人对未知不确定环境缺乏自适应性的缺点,在活动关节自由度的基础上构建了基于模糊神经网络的双目视觉定位系统.采用自组织学习和监督学习相结合的混合算法,从而避免了移动机器人在移动过程中的振动所带来的误差.此外,通过控制伺服电机实现摄像机的移动,降低了双目视觉定位系统的成本.仿真实验结果表明,该系统具有较高的精确度及响应速度.
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| 关 键 词： | 神经网络 视觉定位 机器人 模糊神经系统 双目视觉 |
Binocular vision positioning system based on fuzzy-neural network |
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| LIU Zhong-min,LI Zhan-ming.Binocular vision positioning system based on fuzzy-neural network[J].Computer Engineering and Design,2010,31(3). |
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| Authors: | LIU Zhong-min LI Zhan-ming |
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| Affiliation: | LIU Zhong-min,LI Zhan-ming (College of Electrical , Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China) |
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| Abstract: | To overcome defect of adaptability in unknown or uncertainty circumstance of mobile robot,a new approach of binocular vision positioning system based on fuzzy-neural network is established.Compared with other algorithms,this algorithm is proposed to apply the combining supervised learning and self organized algorithm in order to avoid a mobile robot moving in the course of the vibration caused by error.Moreover,its cost is lower than other more sophisticated control strategies because of servo motor control... |
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| Keywords: | neural networks visual position fuzzy logic fuzzy-neural system binocular vision |
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