PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL

One of the most efficient ways for identical binary se quences generation is using methods of neural cryptography. The initial weight vestors values influence on speed of synchronization is analized. Equal probability of initial weight vestors motion directions is great advantage. On this base autho...

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Main Authors: V. F. Golikov, N. V. Brich
Format: Article
Language:English
Published: Belarusian National Technical University 2015-05-01
Series:Sistemnyj Analiz i Prikladnaâ Informatika
Online Access:https://sapi.bntu.by/jour/article/view/11
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author V. F. Golikov
N. V. Brich
author_facet V. F. Golikov
N. V. Brich
author_sort V. F. Golikov
collection DOAJ
description One of the most efficient ways for identical binary se quences generation is using methods of neural cryptography. The initial weight vestors values influence on speed of synchronization is analized. Equal probability of initial weight vestors motion directions is great advantage. On this base authors suppose new line of research conserned with improvement of network architecture and correction algorithm.
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spelling doaj.art-0759b6549256458c8c5b505ab9fb56db2023-03-13T09:47:39ZengBelarusian National Technical UniversitySistemnyj Analiz i Prikladnaâ Informatika2309-49232414-04812015-05-0101-233375PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURALV. F. Golikov0N. V. Brich1Белорусский национальный технический университетБелорусский национальный технический университетOne of the most efficient ways for identical binary se quences generation is using methods of neural cryptography. The initial weight vestors values influence on speed of synchronization is analized. Equal probability of initial weight vestors motion directions is great advantage. On this base authors suppose new line of research conserned with improvement of network architecture and correction algorithm.https://sapi.bntu.by/jour/article/view/11
spellingShingle V. F. Golikov
N. V. Brich
PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
Sistemnyj Analiz i Prikladnaâ Informatika
title PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
title_full PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
title_fullStr PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
title_full_unstemmed PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
title_short PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL
title_sort probabilistic properties of the initial values of weighting factors in synchronized artificial neural
url https://sapi.bntu.by/jour/article/view/11
work_keys_str_mv AT vfgolikov probabilisticpropertiesoftheinitialvaluesofweightingfactorsinsynchronizedartificialneural
AT nvbrich probabilisticpropertiesoftheinitialvaluesofweightingfactorsinsynchronizedartificialneural