Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models
Yee‐Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar
Abstract
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.
Topics & Concepts
Surrogate modelBayesian optimizationGaussian processBayesian probabilityComputer scienceArtificial neural networkArtificial intelligenceProcess (computing)Machine learningGaussianKrigingPhysicsOperating systemQuantum mechanicsMachine Learning and Data ClassificationInfrastructure Maintenance and MonitoringFault Detection and Control Systems