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Computational neural networks for predictive microbiology II. Application to microbial growth

Author
HAJMEER, M. N1 ; BASHEER, I. A2 ; NAJJAR, Y. M2
[1] Department of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, United States
[2] Department of Civil Engineering, Kansas State University, Manhattan, KS 66506, United States
Source

International journal of food microbiology. 1997, Vol 34, Num 1, pp 51-66 ; ref : 20 ref

CODEN
IJFMDD
ISSN
0168-1605
Scientific domain
Food science technology
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Contamination biologique Etude comparative Etude théorique Evaluation performance Multiplication microorganisme Pathogène Produit alimentaire Prédiction Régression linéaire Régression multiple Réseau neuronal Shigella flexneri Surface réponse Traitement informatique Bactérie Enterobacteriaceae
Keyword (en)
Biological contamination Comparative study Theoretical study Performance evaluation Microorganism growth Pathogenic Foodstuff Prediction Linear regression Multiple regression Neural network Shigella flexneri Response surface Computerized processing Bacteria Enterobacteriaceae
Keyword (es)
Contaminación biológica Estudio comparativo Estudio teórico Evaluación prestación Multiplicación microorganismo Patógeno Producto alimenticio Predicción Regresión lineal Regresión múltiple Red neuronal Shigella flexneri Superficie respuesta Tratamiento informático Bacteria Enterobacteriaceae
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35D Food microbiology

Discipline
Agrifood industries
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
2562112

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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