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

International Journal of Food Microbiology

Volumn 34, Issue 1, 1997, Pages 51-66

  Hajmeer, Maha N ^a   Basheer, Imad A ^b   Najjar, Yacoub M ^b  

^a KANSAS STATE UNIVERSITY   (United States)

^b Kansas State University   (United States)

Author keywords

Computational neural networks; Gompertz model; Microbial growth; Multiple linear regression; Response surface models; Shigella flexneri

Indexed keywords

SODIUM CHLORIDE;

ANAEROBIC GROWTH; ARTICLE; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL FACTOR; ENVIRONMENTAL TEMPERATURE; FOOD CONTAMINATION; FOOD CONTROL; MICROBIAL GROWTH; MICROBIOLOGY; MULTIPLE REGRESSION; NONHUMAN; PH; PREDICTION; SHIGELLA FLEXNERI;

NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SHIGELLA FLEXNERI;

SHIGELLA FLEXNERI;

EID: 0031031431     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1605(96)01169-5     Document Type: Article

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