Neutron flux flattening in PWRs using neural networks in fuel management

IEEE Transactions on Nuclear Science

Volumn 49 IV, Issue 3, 2002, Pages 1574-1578

  Sadighi, Mostafa ^a   Setayeshi, Saeed ^b   Salehi, Ali Akbar ^c  

^a ATOMIC ENERGY ORGANIZATION OF IRAN   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuel management; Hopfield network; Neural networks; Simulated annealing (SA)

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; NUCLEAR POWER PLANTS; SIMULATED ANNEALING; TRAVELING SALESMAN PROBLEM;

FUEL MANAGEMENT; HOPFIELD NETWORK; LOCAL PEAKING FACTOR; NEUTRON FLUX FLATTENING;

PRESSURIZED WATER REACTORS;

EID: 0036624311     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2002.1039702     Document Type: Article

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