The automated discovery of kinetic rate models – methodological frameworks
Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, King Kuok Hii, Klaus Hellgardt, Dongda Zhang, Ehecatl Antonio del Rio‐Chanona
Abstract
Two automated knowledge discovery methodologies (ADoK-S & ADoK-W) are created whereby symbolic regression, parameter estimation, information criteria and model-based design of experiments synergize for the optimized discovery of kinetic rate models.
Topics & Concepts
Computer scienceData scienceFault Detection and Control SystemsAdvanced Control Systems OptimizationGaussian Processes and Bayesian Inference