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Инд. авторы: Shary S.P.
Заглавие: Maximum consistency method for data fitting under interval uncertainty
Библ. ссылка: Shary S.P. Maximum consistency method for data fitting under interval uncertainty // Journal of Global Optimization. - 2016. - Vol.66. - Iss. 1. - P.111-126. - ISSN 0925-5001. - EISSN 1573-2916.
Внешние системы: DOI: 10.1007/s10898-015-0340-1; РИНЦ: 26762696; РИНЦ: 23990970; SCOPUS: 2-s2.0-84937152219; WoS: 000382141100009;
Реферат: eng: The work is devoted to application of global optimization in data fitting problem under interval uncertainty. Parameters of the linear function that best fits intervally defined data are taken as the maximum point for a special (“recognizing”) functional which is shown to characterize consistency between the data and parameters. The new data fitting technique is therefore called “maximum consistency method”. We investigate properties of the recognizing functional and present interpretation of the parameter estimates produced by the maximum consistency method.
Ключевые слова: Data fitting; Interval uncertainty; recognizing functional; Maximum consistency; Nonconvex optimization;
Издано: 2016
Физ. характеристика: с.111-126
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