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- W1507777190 abstract "The bath chemistry is very complex for analytical modeling due to its sensitivity to disturbances from other processes. The control of the electrolyte also represents a great challenge, provided that any change in the heat and mass balance may affect current efficiency and pot life. In order to test a good control strategy, a process model is very helpful. The model allows process experts to design and test process control strategies without compromising reduction cells. In addition a model allows simulations on the process for a long time. In this work we developed a neural-based strategy to model bath chemistry variables in a Multiple Input Multiple Output (MIMO) approach using a data-driven design. The achieved results are very acceptable for the process engineering staff of the industry where this work was performed." @default.
- W1507777190 created "2016-06-24" @default.
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- W1507777190 date "2016-01-01" @default.
- W1507777190 modified "2023-09-27" @default.
- W1507777190 title "A MIMO Modeling Strategy for Bath Chemistry" @default.
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- W1507777190 doi "https://doi.org/10.1007/978-3-319-65136-1_125" @default.
- W1507777190 hasPublicationYear "2016" @default.
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