Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling
Репозитарій Вінницького Національного Технічного Університету
Переглянути архів ІнформаціяПоле | Співвідношення | |
Title |
Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling
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Creator |
Rubanenko, L. O.
Komar, V. O. Petrushenko, O. Y. Smolarz, A. Smailova, S. Imanbekova, U. Комар, В. О. Петрушенко, О. Ю. |
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Subject |
similarity theory
neuro-fuzzy modelling basic similarity criteria membership functions uncertainty |
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Description |
A method is proposed for solving optimization problems with high complexity when searching for the function minimum by using methods and means of similarity theory and neuro-fuzzy modelling. The problem with nonlinear objective function and constraints is transformed into a task with a nonlinear objective function and linear constraints. In this task, the basic similarity criteria are presented in the form of membership functions. Dependent similarity criteria are defined through the base with the use of standard computational procedures. |
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Date |
2019-02-26T11:08:47Z
2019-02-26T11:08:47Z 2017 |
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Type |
Article
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Identifier |
Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling [Text○3 / L. O. Rubanenko, V. O. Rubanenko, O. Y. Petrushenko [etc.] // Przegląd Elektrotechniczny. – 2017. – № 3. – P. 93-96. – Scopus.
0033-2097 http://ir.lib.vntu.edu.ua//handle/123456789/23873 10.15199/48.2017.03.22 |
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Language |
uk_UA
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Relation |
Przegląd Elektrotechniczny. № 3 : 93-96.
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Format |
application/pdf
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Publisher |
Stowarzyszenie Polskich Inżynierów Elektryków i Elektroników
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