Modeling the hydrocracking process with kriging through Bayesian Transfer Learning
| Title: | Modeling the hydrocracking process with kriging through Bayesian Transfer Learning |
|---|---|
| Authors: | Iapteff, Loïc; Jacques, Julien; Rolland, Matthieu; Celse, Benoît |
| Contributors: | Entrepôts, Représentation et Ingénierie des Connaissances (ERIC); Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon; IFP Energies nouvelles (IFPEN) |
| Source: | 2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety; https://hal.science/hal-03561361; 2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety, Apr 2021, virtual, United States |
| Publisher Information: | CCSD |
| Publication Year: | 2021 |
| Collection: | Portail HAL de l'Université Lumière Lyon 2 |
| Subject Terms: | Transfer Knowledge of Parameters; Regression modeling; Gaussian Process; MCMC algorithm; Kriging; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] |
| Subject Geographic: | virtual; United States |
| Description: | International audience |
| Document Type: | conference object |
| Language: | English |
| Availability: | https://hal.science/hal-03561361; https://hal.science/hal-03561361v1/document; https://hal.science/hal-03561361v1/file/abstract_BayesianTL_AIChE.pdf |
| Rights: | https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: | edsbas.913CAAB2 |
| Database: | BASE |