Запис Детальніше

Синтез аппроксимирующей функции при неизвестной структуре модели

Електронний архів E-archive DonNTU – (Electronic archive Donetsk National Technical University)

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Title Синтез аппроксимирующей функции при неизвестной структуре модели
 
Creator Иващенко, Алеся Борисовна
Беловодский, Валерий Николаевич
 
Subject approximation
the bank of functions
the least squares method
regression
perspective function
elimination
 
Description Ivashchenko A.B., Belovodskiy V.N. “Synthesis of the approximating function in case of the
unknown structure of the model”. In this paper an effective technique of synthesis of
approximating function, especially in case of unknown structure of model is presented. The
algorithm stages are described, namely: formation of bank of functions, selection of perspective
functions and elimination of the useless one. The paper discusses the features of software
implementation and results of the algorithm testing. As a result of the technique analysis its
advantages and disadvantages have been identified. Suggestions on improving of the methodology
are offered.
 
Date 2012-03-15T13:42:23Z
2012-03-15T13:42:23Z
2011
 
Type Article
 
Identifier http://ea.donntu.edu.ua/handle/123456789/8894
 
Language other