Application of artificial neural network model for the development of optimized complex medium for phenol degradation using Pseudomonas pictorum (NICM 2074)

Biodegradation

Volumn 18, Issue 3, 2007, Pages 383-392

  Annadurai, Gurusamy ^a   Lee, Jiunn Fwu ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Artificial Neural Network (ANN); Biodegradation; Multiple Regression Analysis (MRA); Pseudomonas pictorum (NICM 2074)

Indexed keywords

BIODEGRADATION; NEURAL NETWORKS; PH EFFECTS; POLYNOMIALS; REGRESSION ANALYSIS;

BIODEGRADANTS; MULTIPLE REGRESSION ANALYSIS (MRA); PSEUDOMONAS PICTORUM;

PHENOLS;

PHENOL;

BIODEGRADATION; NEURAL NETWORKS; PH EFFECTS; PHENOLS; POLYNOMIALS; REGRESSION ANALYSIS;

ARTIFICIAL NEURAL NETWORK; BACTERIUM; BIODEGRADATION; COMPARATIVE STUDY; MICROBIAL ACTIVITY; MODEL TEST; MODELING; MULTIPLE REGRESSION; PHENOL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOREMEDIATION; METABOLISM; PSEUDOMONAS; REGRESSION ANALYSIS;

BIODEGRADATION, ENVIRONMENTAL; NEURAL NETWORKS (COMPUTER); PHENOL; PSEUDOMONAS; REGRESSION ANALYSIS;

PSEUDOMONAS; PSEUDOMONAS PICTORUM;

EID: 34247399470     PISSN: 09239820     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10532-006-9072-8     Document Type: Article

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