Unsupervised learning in second-order neural networks for motion analysis

This paper demonstrates how unsupervised learning based on Hebb-like mechanisms is sufficient for training second-order neural networks to perform different types of motion analysis. The paper studies the convergence properties of the network in several conditions, including different levels of nois...

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Bibliographic Details

Main Authors:	Maul, Tomas, Baba, Mohd Sapiyan
Format:	Article
Published:	Elsevier 2011
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://eprints.um.edu.my/5670/ https://doi.org/10.1016/j.neucom.2010.09.023
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