Application of intelligent modeling to predict the population dynamics of Pseudomonas aeruginosa in Frankfurter sausage containing Satureja bachtiarica extracts

Microbial Pathogenesis

Volumn 85, Issue , 2015, Pages 58-65

  Alghooneh, Ali ^a   Alizadeh Behbahani, Behrooz ^a   Noorbakhsh, Hamid ^a   Tabatabaei Yazdi, Farideh ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Artificial neural network; Co active neuro fuzzy inference system; Genetic algorithm; Modeling; Pseudomonas aeruginosa; Satureja bachtiarica

Indexed keywords

ALCOHOL; PLANT EXTRACT; SATUREJA BACHTIARICA EXTRACT; UNCLASSIFIED DRUG; WATER; FOOD ADDITIVE;

ANTIMICROBIAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; ENVIRONMENTAL TEMPERATURE; FRANKFURTER SAUSAGE; FUZZY SYSTEM; GENETIC ALGORITHM; MEAT; NONHUMAN; POPULATION DYNAMICS; PREDICTION; PRIORITY JOURNAL; PSEUDOMONAS AERUGINOSA; SIMULATION; STEP WISE MULTIPLE REGRESSION; TIME; ALGORITHM; CHEMISTRY; DRUG EFFECTS; GROWTH, DEVELOPMENT AND AGING; KINETICS; MICROBIOLOGY; SAVORY;

PSEUDOMONAS AERUGINOSA; SATUREJA;

ALGORITHMS; FOOD ADDITIVES; KINETICS; MEAT PRODUCTS; NEURAL NETWORKS (COMPUTER); PLANT EXTRACTS; PSEUDOMONAS AERUGINOSA; SATUREJA;

EID: 84934952585     PISSN: 08824010     EISSN: 10961208     Source Type: Journal    
DOI: 10.1016/j.micpath.2015.06.003     Document Type: Article

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