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

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.

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Year of publication:	1998
Authors:	Geeraerd, Annemie H. ; Herremans, Carl H. ; Ludikhuyze, Linda R. ; Hendrickx, Marc E. ; Impe, Jan F. Van
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 48.1998, 1, p. 53-64
Publisher:	Elsevier
Subject:	Modeling \| Artificial neural networks \| Joint confidence regions \| Enzyme inactivation

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010870319