Neurocomputational identification of order parameters in gerontology
- Авторлар: Eskov V.1, Eskov V.1, Filatova O.1, Khadartsev A.1, Sinenko D.1
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Мекемелер:
- Surgut State University
- Шығарылым: Том 6, № 1 (2016)
- Беттер: 24-28
- Бөлім: Article
- URL: https://journals.rcsi.science/2079-0570/article/view/205199
- DOI: https://doi.org/10.1134/S2079057016010033
- ID: 205199
Дәйексөз келтіру
Аннотация
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, xi, 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).
Негізгі сөздер
Авторлар туралы
V. Eskov
Surgut State University
Хат алмасуға жауапты Автор.
Email: Valery.Eskov@gmail.com
Ресей, pr. Lenina 1, Surgut, Khanty-Mansiisk Autonomous Okrug, 628415
V. Eskov
Surgut State University
Email: Valery.Eskov@gmail.com
Ресей, pr. Lenina 1, Surgut, Khanty-Mansiisk Autonomous Okrug, 628415
O. Filatova
Surgut State University
Email: Valery.Eskov@gmail.com
Ресей, pr. Lenina 1, Surgut, Khanty-Mansiisk Autonomous Okrug, 628415
A. Khadartsev
Surgut State University
Email: Valery.Eskov@gmail.com
Ресей, pr. Lenina 1, Surgut, Khanty-Mansiisk Autonomous Okrug, 628415
D. Sinenko
Surgut State University
Email: Valery.Eskov@gmail.com
Ресей, pr. Lenina 1, Surgut, Khanty-Mansiisk Autonomous Okrug, 628415