High Performance Associative Neural Networks: Overview and Library

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ConferenceThe Canadian Conference on Artificial Intelligence (AI'06), June 7-9, 2006., Québec City, Québec, Canada
Subjectassociative memory; projection learning; sparse neural network; pseudoinverse rule; apprentissage projectif; réseau neuronal clairsemé; règle pseudo-inverse
AbstractAssociative neural networks are regaining the popularity due to their recent successful application to the problem of real-time memorization and recognition in video. This paper presents a comparative overview of several most popular models of these networks, such as those learnt by the Projective Learning rules and having Sparse architecture, and introduces an Open Source Associative Neural Network Library which allows one to implement these models.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48496
NPARC number8913667
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Record identifier4f743244-019d-424e-8af3-cd15e9505ab0
Record created2009-04-22
Record modified2016-05-09
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