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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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2015-05-01
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| Series: | Системный анализ и прикладная информатика |
| Online Access: | https://sapi.bntu.by/jour/article/view/11 |
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| _version_ | 1832543539561496576 |
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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. |
| format | Article |
| id | doaj-art-0759b6549256458c8c5b505ab9fb56db |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2015-05-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-0759b6549256458c8c5b505ab9fb56db2025-02-03T11:37:45ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812015-05-0101-233375PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURALV. F. Golikov0N. V. Brich1Belarusian National Technical UniversityBelarusian National Technical UniversityOne 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 Системный анализ и прикладная информатика |
| 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 |