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Unsupervised learning in neurodynamics using example-interaction approachA new concept for unsupervised learning based upon examples introduced to the neural network is proposed. Each example is considered as an interpolation node of the velocity field in the phase space. The velocities at these nodes are selected such that all the streamlines diverge to an attracting set imbedded in the subspace occupied by the cluster of examples. The synaptic interconnections are found from the minimization of the strength energy, while the node velocities play the role of constraints.
Document ID
19900040562
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Zak, Michail
(JPL Pasadena, CA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Publication Information
Publication: Applied Mathematics Letters
Volume: 2
Issue: 3 19
ISSN: 0893-9659
Subject Category
Cybernetics
Accession Number
90A27617
Funding Number(s)
CONTRACT_GRANT: NAS7-918
Distribution Limits
Public
Copyright
Other

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