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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| Main Authors: | , |
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| Format: | Article |
| Published: |
Elsevier
2011
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| Subjects: | |
| Online Access: | http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=5&SID=R1fpLBCkhO4BPoH9A24&page=2&doc=20 http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=5&SID=R1fpLBCkhO4BPoH9A24&page=2&doc=20 |
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