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Volumn 409, Issue 7, 2011, Pages 1243-1254

Quantitative effects of composting state variables on C/N ratio through GA-aided multivariate analysis

Author keywords

Food waste composting; Genetic algorithm; Stepwise cluster analysis; The C N ratio; Variable selection

Indexed keywords

AMMONIUM NITROGEN; ASH CONTENTS; C/N RATIO; CLUSTER TREE; COMPOSTING PROCESS; COMPOSTING REACTORS; COMPUTATIONAL EFFORT; CRITICAL FACTORS; DIRECT SEARCH ALGORITHM; ENVIRONMENTAL PROCESS; EXPERIMENTAL DATA; FOOD WASTE COMPOSTING; INTERNAL PARAMETERS; MEAN TEMPERATURE; MESOPHILIC BACTERIA; MOISTURE CONDITIONS; MOISTURE CONTENTS; MULTI VARIATE ANALYSIS; MULTIVARIATE ANALYSIS METHODS; NON-LINEAR RELATIONSHIPS; OPTIMAL SETS; ORGANIC MATTER; PREDICTION ACCURACY; QUANTITATIVE EFFECTS; STATE VARIABLES; STEPWISE CLUSTER ANALYSIS; TOTAL LOSS; VARIABLE SELECTION;

EID: 79851509127     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2010.12.023     Document Type: Article
Times cited : (29)

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