Evaluation of model parameter accuracy by using joint confidence regions: application to low complexity neural networks to describe enzyme inactivation

Annemie H. Geeraerd, Carl H. Herremans, Linda R. Ludikhuyze, Marc E. Hendrickx and Jan F. Van Impe

Mathematics and Computers in Simulation (MATCOM), 1998, vol. 48, issue 1, 53-64

Abstract: An existing low complexity, black box artificial neural network model (ANN model) is investigated towards its more general applicability in the field of high isobaric–isothermal inactivation of enzymes. The use of this non-linear modeling technique makes it possible to describe accurately synergistic effects of pressure and temperature in contrast with more classical models used in this novel area of food processing.

Keywords: Modeling; Artificial neural networks; Joint confidence regions; Enzyme inactivation (search for similar items in EconPapers)
Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:48:y:1998:i:1:p:53-64

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