Combining the advantages of discrete- and continuous-time scheduling models: Part 1. Framework and mathematical formulations.
Hojae LeeChristos T. MaraveliasPublished in: Comput. Chem. Eng. (2018)
Keyphrases
- probabilistic model
- main contribution
- modeling framework
- mathematical models
- bayesian framework
- learning frameworks
- scheduling algorithm
- statistical models
- data sets
- process model
- optimal control
- conceptual framework
- experimental data
- resource allocation
- complex systems
- theoretical framework
- computational model
- response time
- prior knowledge
- information retrieval
- machine learning
- neural network