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Algebraic surrogate‐based process optimization using Bayesian symbolic learning.

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Title: Algebraic surrogate‐based process optimization using Bayesian symbolic learning.
Authors: Forster, Tim1, Vázquez, Daniel1, Guillén‐Gosálbez, Gonzalo1, gonzalo.guillen.gosalbez@chem.ethz.ch
Source: AIChE Journal; Aug2023, Vol. 69 Issue 8, p1-20, 20p
Database: Applied Science & Technology Source
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  Data: Algebraic surrogate‐based process optimization using Bayesian symbolic learning.
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        Value: 10.1002/aic.18110
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Algebraic surrogate‐based process optimization using Bayesian symbolic learning.
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            NameFull: Forster, Tim
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            NameFull: Vázquez, Daniel
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              M: 08
              Text: Aug2023
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              Y: 2023
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