The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling

• Autorzy: Krok A.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Gaussian processes; genetic algorithms

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2015
• Tom: nr 3
• Strony: 58--63
• Opis fizyczny: Bibliogr. 31 poz., rys.

Twórcy

autor

Krok A.

• Faculty of Physics, Mathematics and Computer Science, Tadeusz Kościuszko Cracow University of Technology, Warszawska st 24, 31-155 Cracow, Poland

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