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@Article{Zvezintsev:2013:VASTU, author = "Andrey Igorevich Zvezintsev and Irina Yurievna Kvyatkovskaya", title = "Application of modified genetic programming algorithm for identification of mathematical models through the expansion of the training set by neural network", journal = "Vestnik of Astrakhan State Technical University. Series: Management, Computer science and Informatics", year = "2013", volume = "2013", number = "2", pages = "58--65", month = aug, keywords = "genetic algorithms, genetic programming, mathematical identification, artificial neural network, approximation, knowledge extraction, mathematical model.", publisher = "Astrakhan State Technical University", ISSN = "2072-9502", bibsource = "OAI-PMH server at www.doaj.org", oai = "oai:doaj-articles:ce1ef0f63b4866b39a7f5dcf671485b9", source = "Vestnik Astrahanskogo Gosudarstvennogo Tehni{\v c}eskogo Universiteta. Seri{\^a}: Upravlenie, Vy{\v c}islitel{'}na{\^a} Tehnika i Informatika", URL = "http://vestnik.astu.org/Pages/Show/85", URL = "http://vestnik.astu.org/Content/UserImages/file/inform_2013_2/07.pdf", size = "8 pages", abstract = "The concept of mathematical identification, its scope and stages of implementation are considered. The methods of identification of mathematical models: regression analysis, harmonic analysis, group method of data handling, genetic programming are analysed. The restriction of the use of genetic programming method for the identification of the mathematical model of unexplored process in the presence of the noise component in the experimental data is studied. Proposes a modification of the method of genetic programming using the method of pre-approximation and expanding the training set by artificial neural network. The interfaces of the developed soft-ware product and the test results of the proposed method are presented.", notes = "In Russian", }

Genetic Programming entries for Andrey Igorevich Zvezintsev Irina Yurievna Kvyatkovskaya