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Title: The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling, Journal of Telecommunications and Information Technology, 2001, nr 3

Creator:

Krok, Agnieszka

Date:

2015, nr 3

Resource Type:

artykuł

Description:

The aim of the paper is to present the possibilities of modeling the experimental data by Gaussian processes. Genetic algorithms are used for finding the Gaussian process parameters. Comparison of data modeling accuracy is made according to neural networks learned by Kalman filtering. Concrete hysteresis loops obtained by the experiment of cyclic loading are considered as the real data time series.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1870

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

genetic algorithms Gaussian processes

Object collections:

Last modified:

Feb 16, 2016

In our library since:

Feb 16, 2016

Number of object content hits:

88

All available object's versions:

https://bc.itl.waw.pl/publication/2136

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Edition name Date
Krok, Agnieszka, 2015, nr 3, The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling, Journal of Telecommunications and Information Technology, 2001, nr 3 Feb 16, 2016

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