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ARCHITECTURE AND ALGORITHMS OF NEURAL NETWORKS HAMMING AND HEBB, CAPABLE LEARN AND IDENTIFY NEW INFORMATION
Author(s) -
В. Д. Дмитриенко,
Alexander Zakovorotnіy
Publication year - 2014
Publication title -
radìoelektronìka, ìnformatika, upravlìnnâ/radìoelektronika, ìnformatika, upravlìnnâ
Language(s) - English
Resource type - Journals
eISSN - 2313-688X
pISSN - 1607-3274
DOI - 10.15588/1607-3274-2014-2-15
Subject(s) - hamming code , artificial neural network , computer science , hamming distance , algorithm , artificial intelligence , adaptive resonance theory , time delay neural network , pattern recognition (psychology) , theoretical computer science , block code , decoding methods

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