Запис Детальніше

Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling

Репозитарій Вінницького Національного Технічного Університету

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling
 
Creator Rubanenko, L. O.
Komar, V. O.
Petrushenko, O. Y.
Smolarz, A.
Smailova, S.
Imanbekova, U.
Комар, В. О.
Петрушенко, О. Ю.
 
Subject similarity theory
neuro-fuzzy modelling
basic similarity criteria
membership functions
uncertainty
 
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.
 
Date 2019-02-26T11:08:47Z
2019-02-26T11:08:47Z
2017
 
Type Article
 
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
 
Language uk_UA
 
Relation Przegląd Elektrotechniczny. № 3 : 93-96.
 
Format application/pdf
 
Publisher Stowarzyszenie Polskich Inżynierów Elektryków i Elektroników