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
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Online Access:http://eprints.um.edu.my/5670/
https://doi.org/10.1016/j.neucom.2010.09.023
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