DocumentCode :
3635021
Title :
Approaches in adaptation of fuzzy cognitive maps for navigation purposes
Author :
Vaščák
Author_Institution :
Centre for Intelligent Technologies, Technical University in Ko?ice, Kosice, Slovakia
fYear :
2010
Firstpage :
31
Lastpage :
36
Abstract :
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.
Keywords :
"Fuzzy cognitive maps","Navigation","Hebbian theory","Knowledge representation","Vehicle dynamics","Intelligent robots","Intelligent vehicles","Production","Unsupervised learning","Least squares approximation"
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
Print_ISBN :
978-1-4244-6422-7
Type :
conf
DOI :
10.1109/SAMI.2010.5423716
Filename :
5423716
Link To Document :
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