基于导航目的的模糊认知地图自适应方法

2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 2010-03-04 DOI:10.1109/SAMI.2010.5423716

Ján Vaščák

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引用次数: 29

摘要

本文研究了模糊认知地图在机器人车辆导航和避障中的自动适应问题。采用各种改进的Hebbian学习方法和最小均方方法，并在汽车仿真模型上进行了实验比较，以提取和评估其用于FCM设置参数的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Approaches in adaptation of fuzzy cognitive maps for navigation purposes

This paper deals with automatic adaptation of fuzzy cognitive maps (FCM) for navigation and obstacle avoidance of robotic vehicles. Various modifications of Hebbian learning as well as least mean square methods were used and experimentally compared on a simulation model of a vehicle to extract and evaluate their properties for setting-up parameters of FCM.

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2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

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