2021 Annual Meeting

Session: Data-Driven and Hybrid Modeling for Decision Making I

Chair

Co-Chair

Presentations

08:00 AM

(415a) Modeling Complex Nonlinear Systems Using Concatenated Static-Dynamic Neural Networks

08:15 AM

(415b) Optimal Synthesis and Heat Integration Using Generalized Disjunctive Programming with Hybrid Models

08:30 AM

(415c) Regularized Subsets: A Framework for High-Dimensional Linear Regression with Noisy Data and Optional Constraints

08:45 AM

(415d) A Data-Driven Inverse Optimization Approach to Learning Surrogate Optimizers

09:00 AM

(415e) A Hybrid Model Feature Relevance Analysis for Mechanistic Model Refinement Suggestions

09:15 AM

(415f) A General Strategy for Quantification of the Uncertainty on a Hybrid Model’s Uncertainty Estimates

09:30 AM

(415g) Machine Learning and Multi-Way Method Modelling Methods for Pharmaceutical Process Quality

09:45 AM

(415h) Surrogate Thermodynamics for Process Synthesis: A Computational Study on Model Selection, Accuracy and Performance