A New Nonparametric Algorithm for Preprocessing Stochastic Data with Uncertainty


Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Regional Problems of Earth Remote Sensing, RPERS 2020

Год издания: 2020

Идентификатор DOI: 10.1051/e3sconf/202022302012

Аннотация: The article deals with the problem of modeling stochastic processes under uncertainty. The peculiarity of the processes under consideration is that the researcher does not have information about the mathematical structure of the object; the object is represented as a black box. The article proposes to use a nonparametric modeling aПоказать полностьюlgorithm based on a nonparametric estimate of the regression function on observations. To improve the accuracy of modeling, it is proposed to use an algorithm for generating training samples. The algorithm differs from the previous modification by the definition of essential variables. The results of computational experiments have shown the effectiveness of the proposed algorithms. © The Authors, published by EDP Sciences, 2020.

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Журнал: E3S Web of Conferences

Выпуск журнала: Vol. 223

Номера страниц: 2012

ISSN журнала: 25550403

Издатель: EDP Sciences


  • Chzhan E. (Siberian Federal University, School of Information and Space and Technology, Krasnoyarsk, 660074, Russian Federation)

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