DC Field | Value | Language |
dc.contributor.author | Davydov, M. V. | - |
dc.contributor.author | Kilin, S. Ya. | - |
dc.contributor.author | Kulchitsky, V. A. | - |
dc.date.accessioned | 2018-03-06T08:50:37Z | - |
dc.date.available | 2018-03-06T08:50:37Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Davydov, M. V. Neural network structures: current and future states / M. V. Davydov, S. Y. Kilin, V. A. Kulchitsky // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 259 - 264. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/30344 | - |
dc.description.abstract | Two prevailing points of view on the way of creating
artificial intelligence have been presented: based on the consistent
patterns the evolution of neurons of the natural nervous system
went through and based on radically new patterns, different
from the consistent patterns seen in the natural evolution, shall
be used to develop neural network structures and programs.
The main structural elements of the future artificial intelligence
based on the laws of the development of human neural networks
have been presented: the main types of neurotransmitters and
their role in the modulation of informative signals; a principle
of diffuse transmission of information through the intercellular
matrix; a concept of improving efficiency of functioning neural
network structures based on diffuse transmission of signals in
the form of hormones, growth factors, cytokines. It was pointed
out that the researchers who are aiming at the development of
artificial intelligence must remember about potential negative
consequences that should be taken into account and avoided at
the stages of problem semantic comprehension. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | neural network structures | ru_RU |
dc.title | Neural network structures: current and future states | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | OSTIS-2018
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