Upravlenie Bol'shimi Sistemami
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



UBS:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Upravlenie Bol'shimi Sistemami, 2012, Issue 39, Pages 219–229 (Mi ubs625)  

This article is cited in 6 scientific papers (total in 6 papers)

Control in Medicine, Biology, and Ecology

Neural networks in vascular diseases diagnosis

D. Vedenyapin, A. G. Losev

Volgograd State University
Full-text PDF (843 kB) Citations (6)
References:
Abstract: We consider the problem of vascular diseases diagnosis and suggest using neural networks for classification of combined thermometry observation results. We show that neural networks are an efficient method of vascular disease diagnosis. The accuracy of this method allows using neural networks in expert systems.
Keywords: neural networks, vascular diseases diagnosis, combined thermometry.
Document Type: Article
UDC: 519.234.3
BBC: 2.2.22.172
Language: Russian
Citation: D. Vedenyapin, A. G. Losev, “Neural networks in vascular diseases diagnosis”, UBS, 39 (2012), 219–229
Citation in format AMSBIB
\Bibitem{VedLos12}
\by D.~Vedenyapin, A.~G.~Losev
\paper Neural networks in vascular diseases diagnosis
\jour UBS
\yr 2012
\vol 39
\pages 219--229
\mathnet{http://mi.mathnet.ru/ubs625}
Linking options:
  • https://www.mathnet.ru/eng/ubs625
  • https://www.mathnet.ru/eng/ubs/v39/p219
  • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Upravlenie Bol'shimi Sistemami
    Statistics & downloads:
    Abstract page:425
    Full-text PDF :400
    References:38
    First page:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024