EBaLM-THP - A neural network thermohydraulic prediction model of advanced nuclear system components

Nuclear Engineering and Design

Volumn 239, Issue 2, 2009, Pages 308-319

  Ridluan, Artit ^a   Manic, Milos ^b   Tokuhiro, Akira ^a  

^a UNIVERSITY OF IDAHO   (United States)

^b University of Idaho   (United States)

Author keywords

Design optimization; Error back propagation; Heat exchanger; Levenberg Marquardt; Neural network; PCHE; Supercritical CO2; Thermohydraulic performance

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CARBON DIOXIDE; CLIMATE CHANGE; CLIMATOLOGY; DESIGN; ELECTRONIC EQUIPMENT MANUFACTURE; ENERGY MANAGEMENT; HEAT CONVECTION; HEAT EXCHANGERS; HEAT TRANSFER; MATHEMATICAL MODELS; METROPOLITAN AREA NETWORKS; NEURAL NETWORKS; NUCLEAR ENERGY; NUCLEAR INDUSTRY; NUCLEAR POWER PLANTS; POLYNOMIAL APPROXIMATION; PRINTED CIRCUIT DESIGN; SOLAR WATER HEATERS; THERMOANALYSIS;

DESIGN OPTIMIZATION; LEVENBERG-MARQUARDT; PCHE; SUPERCRITICAL CO2; THERMOHYDRAULIC PERFORMANCE;

OPTIMIZATION;

EID: 58349097913     PISSN: 00295493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nucengdes.2008.10.027     Document Type: Article

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