Media optimization for biosurfactant production by Rhodococcus erythropolis MTCC 2794: Artificial intelligence versus a statistical approach

Journal of Industrial Microbiology and Biotechnology

Volumn 36, Issue 5, 2009, Pages 747-756

  Pal, Moumita P ^a   Vaidya, Bhalchandra K ^a   Desai, Kiran M ^b   Joshi, Renuka M ^a   Nene, Sanjay N ^a   Kulkarni, Bhaskar D ^a  

^a NATIONAL CHEMICAL LABORATORY   (India)

^b INSTITUTE OF CHEMICAL TECHNOLOGY   (India)

Author keywords

Artificial neural network; Biosurfactant; Genetic algorithm; Media optimization; Response surface methodology; Rhodococcus

Indexed keywords

BIOSURFACTANT; PEPTONE; SUCROSE; TOLUENE;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CULTURE MEDIUM; EMULSION; GENETIC ALGORITHM; INTERMETHOD COMPARISON; NONHUMAN; PREDICTION; RESPONSE SURFACE METHOD; RHODOCOCCUS ERYTHROPOLIS; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; YEAST;

CULTURE MEDIA; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); RHODOCOCCUS; SURFACE-ACTIVE AGENTS;

RHODOCOCCUS; RHODOCOCCUS ERYTHROPOLIS;

EID: 67349147005     PISSN: 13675435     EISSN: 14765535     Source Type: Journal    
DOI: 10.1007/s10295-009-0547-6     Document Type: Article

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