Combining the advantages of discrete- and continuous-time scheduling models: Part 2. systematic methods for determining model parameters.
Hojae LeeChristos T. MaraveliasPublished in: Comput. Chem. Eng. (2019)
Keyphrases
- machine learning methods
- statistical models
- predictive power
- qualitative and quantitative
- probabilistic model
- machine learning algorithms
- data mining
- significant improvement
- learned models
- linear models
- monte carlo simulation
- mathematical models
- statistical tests
- learning models
- resource allocation
- model selection
- response time
- computational cost
- information systems