摘要
提出一种基于模糊神经网络的多传感器数据融合方法,并将其用于自主移动机器人的导航避障。采用BP神经网络作为基体,将模糊技术和神经网络有机结合组成模糊神经网络控制系统,实现了模糊规则自动提取及模糊隶属度函数的自动生成。实验表明该方法可实现机器人的安全避障。
This paper presents a multi- sensor data fusion algorithm based on fuzzy neural networks, and it is used to the obstacle avoidance. By using back propagation neural network as the base,it can use fuzzy theory and neural networks together to form a fuzzy neural networks control system. So it can auto pick - up the fuzzy rule and build the subordinate function. Experiments indicate the method proposed in the paper can achieve safe in obstacle avoidance of robot.
出处
《机械与电子》
2005年第8期42-45,共4页
Machinery & Electronics
基金
国家"八六三"计划资助项目(2002AA422240)
