Q-valued neural network as a system of fast identification and pattern recognition

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dc.creatorAlieva, D. I.
dc.creatorKryzhanovsky, B. V.
dc.creatorKryzhanovsky, V. M.
dc.creatorFonarev, A. B.
dc.date2004-12-24
dc.date.accessioned2026-07-07T03:22:18Z
dc.date.available2026-07-07T03:22:18Z
dc.descriptionAn effective neural network algorithm of the perceptron type is proposed. The algorithm allows us to identify strongly distorted input vector reliably. It is shown that its reliability and processing speed are orders of magnitude higher than that of full connected neural networks. The processing speed of our algorithm exceeds the one of the stack fast-access retrieval algorithm that is modified for working when there are noises in the input channel.
dc.description4 pages, Presentation on the 7th International Conference on Pattern Recognition and Image Analysis PRIA-07-2004, St. Petersburg, Russia
dc.identifierhttps://arxiv.org/abs/cs/0412110
dc.identifierhttp://arxiv.org/abs/cs/0412110
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32543
dc.subjectNeural and Evolutionary Computing
dc.subjectComputer Vision and Pattern Recognition
dc.titleQ-valued neural network as a system of fast identification and pattern recognition
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