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Neural networks for predicting thermal conductivity of bakery products

Author
SABLANI, Shyam S1 ; BAIK, Oon-Doo2 ; MARCOTTE, Michele2
[1] Department of Bioresource and Agricultural Engineering, College of Agriculture, Sultan Qaboos University, P.O. Box-34, Al-Khod P.C., 123 Muscat, Oman
[2] Food Research and Development Center, Agriculture and Agri-Food Canada, 3600 Boulvard Casavant, St. Hyacinthe, Que., J2S 8E3, Canada
Source

Journal of food engineering. 2002, Vol 52, Num 3, pp 299-304 ; ref : 23 ref

CODEN
JFOEDH
ISSN
0260-8774
Scientific domain
Food science technology
Publisher
Elsevier, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Conductivité thermique Densité apparente Modèle prévision Modélisation Produit cuisson Propriété thermophysique Qualité Réseau neuronal Température Teneur eau
Keyword (en)
Thermal conductivity Bulk density Forecast model Modeling Bakery product Thermophysical properties Quality Neural network Temperature Water content
Keyword (es)
Conductividad térmica Densidad aparente Modelo previsión Modelización Producto panadería Propiedad termofísica Calidad Red neuronal Temperatura Dosis agua
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35A General aspects / 002A35A03 Food engineering

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35B Food industries / 002A35B03 Cereal and baking product industries

Discipline
Agrifood industries
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
13551582

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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