Gaußsche Prozessregression

Mathematische Modelle in der Werkstofftechnik

Regression in der Werkstofftechnik

Gaußsche Prozessregression

Die Gaußsche Prozessregression ist ein statistisches Verfahren, das Unsicherheiten in Messdaten berücksichtigt und nicht-lineare Zusammenhänge flexibel modelliert. Dies ermöglicht präzise Vorhersagen von Materialeigenschaften in der Werkstoffforschung.

Verwandte Tags

Neues

Bayesian Optimization of Carbide Free Bainitic Steels

Schuscha, B. (Speaker)¹; Scheiber, D.¹; Brandl, D.¹; Mücke, M.¹; Romaner, L.²

Oral-Poster-Presentation

Predicting weld-penetration in Laser Welding using Artificial Intelligence

Hayot, V. (Speaker)¹; Alves Ferreira, A.²; Chabrol, G.¹; LECLER, S.³

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Microstructural Quantifications for Accelerated Prediction of Vickers Hardness Using Machine Learning

Swetlana, S. (Speaker)¹; Khatavkar, N.¹; Singh, A.K.¹

FEMS EUROMAT 2023

Plenary Lecture

Machine Learning for Materials Property Prediction

Morgan, D. (Speaker)¹

Beliebt

Plenary Lecture

Machine Learning for Materials Property Prediction

Morgan, D. (Speaker)¹

Oral-Poster-Presentation

Predicting weld-penetration in Laser Welding using Artificial Intelligence

Hayot, V. (Speaker)¹; Alves Ferreira, A.²; Chabrol, G.¹; LECLER, S.³

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Microstructural Quantifications for Accelerated Prediction of Vickers Hardness Using Machine Learning

Swetlana, S. (Speaker)¹; Khatavkar, N.¹; Singh, A.K.¹

FEMS EUROMAT 2023

Bayesian Optimization of Carbide Free Bainitic Steels

Schuscha, B. (Speaker)¹; Scheiber, D.¹; Brandl, D.¹; Mücke, M.¹; Romaner, L.²

© 2025