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Neurocomputational identification of order parameters in gerontology
The fallacy of using a neuroemulator only once or with a small number of iterations ( p ≤ 50) to solve the group-separation problem (a binary classification problem) in a five-dimensional phase space has been demonstrated using the example of the parameters of five active components (of the 14 that...
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| Published in: | Advances in gerontology 2016, Vol.6 (1), p.24-28 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c316t-8e5439020e24df7fc3b00e04acbaf9e5f9b76b865d4b6e14f0c89fc9329ce4c23 |
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| cites | cdi_FETCH-LOGICAL-c316t-8e5439020e24df7fc3b00e04acbaf9e5f9b76b865d4b6e14f0c89fc9329ce4c23 |
| container_end_page | 28 |
| container_issue | 1 |
| container_start_page | 24 |
| container_title | Advances in gerontology |
| container_volume | 6 |
| creator | Eskov, V. M. Eskov, V. V. Filatova, O. E. Khadartsev, A. A. Sinenko, D. V. |
| description | The fallacy of using a neuroemulator only once or with a small number of iterations (
p
≤ 50) to solve the group-separation problem (a binary classification problem) in a five-dimensional phase space has been demonstrated using the example of the parameters of five active components (of the 14 that were registered) of the state vector of the cardiorespiratory system in Khanty (indigenous people of Yugra, Russia) women from three age groups. The necessity of repeating the neuroemulator-based solution of the binary classification problem at least 1000 times has been demonstrated: in this case, the most significant diagnostic features,
x
i
, could be identified with a precision of two significant fraction digits that are most relevant for the diagnostics of the aging rate (finding a solution of the system-synthesis problem in gerontology). |
| doi_str_mv | 10.1134/S2079057016010033 |
| format | article |
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p
≤ 50) to solve the group-separation problem (a binary classification problem) in a five-dimensional phase space has been demonstrated using the example of the parameters of five active components (of the 14 that were registered) of the state vector of the cardiorespiratory system in Khanty (indigenous people of Yugra, Russia) women from three age groups. The necessity of repeating the neuroemulator-based solution of the binary classification problem at least 1000 times has been demonstrated: in this case, the most significant diagnostic features,
x
i
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p
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x
i
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p
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x
i
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| fulltext | fulltext |
| identifier | ISSN: 2079-0570 |
| ispartof | Advances in gerontology, 2016, Vol.6 (1), p.24-28 |
| issn | 2079-0570 2079-0589 |
| language | eng |
| recordid | cdi_proquest_journals_2920057029 |
| source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
| subjects | Age groups Classification Geriatrics/Gerontology Gerontology Medical research Medicine Medicine & Public Health Native peoples Nervous system Neural networks |
| title | Neurocomputational identification of order parameters in gerontology |
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