A hybrid Bayesian - Neural network approach for probabilistic modeling of bacterial growth/no-growth interface

International Journal of Food Microbiology

Volumn 82, Issue 3, 2003, Pages 233-243

  Hajmeer, M N ^a   Basheer, I A ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA DEPARTMENT OF TRANSPORTATION   (United States)

Author keywords

Artificial neural networks; Bacterial growth; Bayesian probability estimation; Modeling; Parzen's probability distribution

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL GROWTH; BAYES THEOREM; CALCULATION; CONTROLLED STUDY; ESCHERICHIA COLI; INTERMETHOD COMPARISON; MODEL; NONHUMAN; NONLINEAR REGRESSION ANALYSIS; PREDICTION; TEMPERATURE;

BAYES THEOREM; ESCHERICHIA COLI; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS;

BACTERIA (MICROORGANISMS); ESCHERICHIA COLI;

EID: 0037447914     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1605(02)00308-2     Document Type: Article

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