2022 Annual Meeting

Session: Data-Driven and Hybrid Modeling for Decision Making

Chair

Hasan, F., Texas A&M University

Co-Chair

Lu, Q. J., Texas Tech University

Presentations

03:30 PM

(11a) A Hybrid Model Feature Relevance Analysis for First-Principle Model Refinement Suggestions

03:47 PM

(11b) X AI-MEG : An Ontology-Based Explanation Generator Via Machine Learning

04:04 PM

(11c) Meta-Modeling-Based Sensitivity Analysis of Hybrid Models

04:21 PM

(11d) Subspace Based Model Identification for Batch Quality Analysis Using Missing Data Algorithms

04:38 PM

(11e) Bayesian Optimization for Performance-Oriented Model Learning: An Application to Learning-Based Predictive and Parameter-Varying Control of Cold Plasmas

04:55 PM

(11f) A Computational Study on the Benefits of Decision-Focused Surrogate Modeling

05:12 PM

(11g) Decision-Making Optimization of Hybrid Energy Management System for Curtailed Renewable Energy through Deep Reinforcement Learning

05:29 PM

(11h) Hybrid Modeling and Optimization of Process Flowsheets Using Bayesian Symbolic Regression

05:46 PM

(11i) Data-Driven Explainable Classification for Economic Bioproduct Separation