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