Analysing Gaussian Processes for Stationary Black-Box Combustion Engine Modelling-Reference-Cited by-同舟云学术

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Analysing Gaussian Processes for Stationary Black-Box Combustion Engine Modelling

Published:2011-01 Issue:1 Volume:44 Page:10633-10640
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Berger Benjamin,Rauscher Florian,Lohmann Boris

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. Neural Networks for Pattern Recognition;Bishop,1996

2. Pattern Recognition and Machine Learning (Information Science and Statistics);Bishop,2007

3. Gaussian processes for regression and optimisation;Boyle,2007

4. Statistics for Spatial Data;Cressie,1993

5. Online dynamic black box modelling and adaptive experiment design in combustion engine calibration;Deflorian,2010

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2. Experimental Case Study of Stochastic Surrogate-Assisted Engine Calibration;IEEE/ASME Transactions on Mechatronics;2022-12

3. Combustion machine learning: Principles, progress and prospects;Progress in Energy and Combustion Science;2022-07

4. Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-06-09

5. Gaussian Processes for Signal Processing and Representation in Control Engineering;Applied Sciences;2022-05-13

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