Comparative Assessment of the Artificial Neural Network and Response Surface Modelling Efficiencies for Biohydrogen Production on Sugar Cane Molasses

Bioenergy Research

Volumn 7, Issue 1, 2014, Pages 295-305

  Whiteman, J K ^a   Gueguim Kana, E B ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Artificial neural network; Biohydrogen production; Dark fermentation; Genetic algorithm; Response surface model

Indexed keywords

BIO-HYDROGEN PRODUCTION; COMPARATIVE ASSESSMENT; DARK FERMENTATION; FERMENTATIVE BIOHYDROGEN PRODUCTION; INOCULUM CONCENTRATIONS; RESPONSE SURFACE METHODOLOGY; RESPONSE SURFACE MODELING; RESPONSE SURFACE MODELLING;

C (PROGRAMMING LANGUAGE); FERMENTATION; GENETIC ALGORITHMS; HYDROGEN PRODUCTION; MOLASSES; NEURAL NETWORKS; SUGAR CANE; TOPOLOGY;

SURFACE PROPERTIES;

SACCHARUM;

EID: 84896723008     PISSN: 19391234     EISSN: 19391242     Source Type: Journal    
DOI: 10.1007/s12155-013-9375-7     Document Type: Article

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