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
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Creator |
Иващенко, Алеся Борисовна
Беловодский, Валерий Николаевич |
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Subject |
approximation
the bank of functions the least squares method regression perspective function elimination |
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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. |
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Date |
2012-03-15T13:42:23Z
2012-03-15T13:42:23Z 2011 |
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Type |
Article
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Identifier |
http://ea.donntu.edu.ua/handle/123456789/8894
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Language |
other
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