Artificial neural network model with parameter tuning assisted by differential evolution technique: Study of pressure drop of slurry flow in pipeline

Chemical Product and Process Modeling

Volumn 3, Issue 1, 2008, Pages

  Lahiri, S K ^a   Ghanta, Kartik Chandra ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

artificial neural network; differential evolution; slurry flow; slurry pressure drop

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; DIFFERENTIAL EVOLUTION; ENGINEERING PROBLEMS; HYBRID ARTIFICIAL NEURAL NETWORK; OPERATING CONDITION; PARAMETER-TUNING; PIPE DIAMETER; SLURRY FLOW; SOLID-LIQUID;

EVOLUTIONARY ALGORITHMS; PIPE FLOW; PRESSURE DROP;

NEURAL NETWORKS;

EID: 77249155870     PISSN: 19342659     EISSN: None     Source Type: Journal    
DOI: 10.2202/1934-2659.1255     Document Type: Article

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