Open AccessExtrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models
Author(s) -
Lim Yee-Fun,
Ng Chee Koon,
Vaitesswar U.S.,
Hippalgaonkar Kedar
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202170077
Subject(s) - surrogate model , bayesian optimization , gaussian process , bayesian probability , computer science , artificial neural network , artificial intelligence , process (computing) , machine learning , gaussian , kriging , physics , quantum mechanics , operating system
Bayesian Optimization 3D visualization of Gaussian process (GP) prediction and uncertainty manifolds for a concrete compressive strength dataset, which evolved after several iterations of Bayesian optimization with a GP surrogate model. More details can be found in article 2100101 by Yee‐Fun Lim, Kedar Hippalgaonkar and co‐workers.