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Avtomatika i Telemekhanika, 2004, Issue 10, Pages 163–171 (Mi at1653)  
This article is cited in 6 scientific papers (total in 6 papers)

Simulation of Behavior and Intelligence

Optimal piecewise-linear approximation algorithms for complex dependencies

E. V. Bauman, A. A. Dorofeyuk, G. V. Kornilov

Institute of Control Sciences, Russian Academy of Sciences
Full-text PDF (190 kB) Citations (6)
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Abstract: Methods for fuzzy piecewise-linear approximation based on the general variational approach to data classification analysis are described. The underlying idea is to partition the space of variables (input parameters) into domains in each of which a function (dependence) that is complicated in the whole space is approximated by a linear function.
Presented by the member of Editorial Board: F. T. Aleskerov

Received: 25.12.2003
English version:
Automation and Remote Control, 2004, Volume 65, Issue 10, Pages 1667–1674
DOI: https://doi.org/10.1023/B:AURC.0000044275.62735.a9
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. V. Bauman, A. A. Dorofeyuk, G. V. Kornilov, “Optimal piecewise-linear approximation algorithms for complex dependencies”, Avtomat. i Telemekh., 2004, no. 10, 163–171; Autom. Remote Control, 65:10 (2004), 1667–1674
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/at/y2004/i10/p163
    • 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
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    Full-text PDF :242
    References:47
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