Abstract: In the article the author developed a modified parameter identification algorithm based on the least square method for adjustment of consequent fuzzy rules of a Takagi–Sugeno type. We estimated the efficiency of the implemented algorithm for solving the problem of determining the priority of output overhaul sections of the heat network.
Keywords: algorithm, parameter identification, least square method, consequent, fuzzy system, takagi– sugeno
For citation:
Golubeva A. A. Parameter identification algorithm based on a modified least square method for Takagi - Sugeno fuzzy systems. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2014, no. 1(31), pp. 149–152.
Authors and copyright holders:
—
Last issue
-2026-1_%D0%BA%D0%BE%D0%BF%D0%B8%D1%8F.jpg)
Editorial office address
Executive Secretary of the Editor’s Office
Editor’s Office: 40 Lenina Prospect, Tomsk, 634050, Russia
Phone / Fax: + 7 (3822) 701-582
Viktor N. Maslennikov
Executive Secretary of the Editor’s Office
Editor’s Office: 40 Lenina Prospect, Tomsk, 634050, Russia
Phone / Fax: + 7 (3822) 51-21-21 / 51-43-02
Subscription for updates
