摘要
移动机器人路径规划可分为两种类型:(1)全局路径规划;(2)局部路径规划。本文分析了Kohonen神经网络算法及其识别机理,提出了Kohonen神经网络和BP神经网络结合起来进行路径规划的方法,最后给出了具体的算法,探讨了在神经网络技术中引入学习机制的特点。
Path planning for mobile robots involves two problems： global path planning and local path planning. This paper analyses the algorithm of Kohonen neural network and its recognition mechanism. The approaches which Kohonen neural network and BP neural network are combined to plan path of mobile robots are proposed, at last the paper summarizes a detailed algorithm and discusses the method in which learning mechanism is introduced into neural network.
出处
《微计算机信息》
北大核心
2005年第11Z期110-111,153,共3页
Control & Automation
基金
河南省自然科学基金
河南省教育厅自然科学基金资助项目(编号:411010300和2004510005)
