Performance evaluation of microbial fuel cell by artificial intelligence methods

Expert Systems with Applications

Volumn 41, Issue 4 PART 1, 2014, Pages 1389-1399

  Garg, A ^a   Vijayaraghavan, V ^a   Mahapatra, S S ^b   Tai, K ^a   Wong, C H ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

GPTIPS; LS SVM; MFC modeling; MFC prediction; Multi gene genetic programming

Indexed keywords

ARTIFICIAL INTELLIGENCE METHODS; GENERALIZATION ABILITY; GPTIPS; LS-SVM; MULTI-GENE GENETIC PROGRAMMING; OPERATING CONDITION; SUPPORT VECTOR REGRESSION (SVR); TRAINING AND TESTING;

GENES; GENETIC PROGRAMMING; MICROBIAL FUEL CELLS; NEURAL NETWORKS;

FORECASTING;

EID: 84888298203     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.08.038     Document Type: Article

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