Modeling of a three-phase industrial batch reactor using a hybrid first-principles neural-network model
نویسندگان
چکیده
We present an industrial case study of a three-phase reaction system in a batch reactor. For the successful modeling and prediction of the plant-scale performance a hybrid model is used. Data from different scales were available for developing the model. In order to model the large-scale production process the first principles model was extended with neural network models to identify the missing parameters.
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