Identification of Atmospheric Variable Using Deep Gaussian Processes ⁎ ⁎The authors acknowledge the project “Method for the forecasting of local radiological pollution of atmosphere using Gaussian process models”, ID L2-8174, and research core funding No. P2-0001, which were financially supported by the Slovenian Research Agency. We are grateful to the NPP Krško for the measurement data from their automatic measuring system.-Reference-Cited by-同舟云学术

Identification of Atmospheric Variable Using Deep Gaussian Processes ⁎ ⁎The authors acknowledge the project “Method for the forecasting of local radiological pollution of atmosphere using Gaussian process models”, ID L2-8174, and research core funding No. P2-0001, which were financially supported by the Slovenian Research Agency. We are grateful to the NPP Krško for the measurement data from their automatic measuring system.

Published:2018 Issue:5 Volume:51 Page:43-48
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Jančič Mitja,Kocijan Juš,Grašič Boštjan

Publisher

Elsevier BV

Subject

Control and Systems Engineering

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