A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models.
Dimitrios FysikopoulosBrahim BenyahiaAkos BorsosZoltan K. NagyChris D. RiellyPublished in: Comput. Chem. Eng. (2019)
Keyphrases
- probabilistic model
- modeling framework
- multi dimensional
- computational models
- process model
- generic model
- formal model
- bayesian framework
- model validation
- statistical models
- computational model
- statistical model
- conceptual framework
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- mathematical model
- autoregressive
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- monte carlo simulation
- linear model
- hybrid model
- agent based models
- domain models
- prior knowledge
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- experimental data
- decision model
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- predictive model
- model driven
- parametric models
- analytical model
- hierarchical model
- random fields
- stochastic processes
- learned models
- software development
- accurate models
- neural network model
- software development process
- statistical methods