Wavelet neural networks for modelling high pressure inactivation kinetics of Listeria monocytogenes in UHT whole milk

Chemometrics and Intelligent Laboratory Systems

Volumn 103, Issue 2, 2010, Pages 170-183

  Amina, M ^a   Panagou, E Z ^b   Kodogiannis, V S ^a   Nychas, G J E ^b  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

^b AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

High pressure treatment; Listeria monocytogenes; Milk; Neural networks; Partial least squares regression; Predictive modelling; Wavelet networks

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL COUNT; BACTERIAL KINETICS; BACTERIAL SURVIVAL; BACTERICIDAL ACTIVITY; BACTERIUM CONTAMINATION; CONTROLLED STUDY; ENVIRONMENTAL TEMPERATURE; FOOD ANALYSIS; FOOD CONTAMINATION; FOOD MICROBIOTECHNOLOGY; HIGH TEMPERATURE; HYDROSTATIC PRESSURE; LISTERIA MONOCYTOGENES; MILK; NONHUMAN; NONLINEAR SYSTEM; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRESSURE MEASUREMENT; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; PROCESS OPTIMIZATION; STATISTICAL MODEL; SURVIVAL RATE; VALIDATION PROCESS;

EID: 77955919073     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.07.004     Document Type: Article

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