PWR fuel management optimization using neural networks

Annals of Nuclear Energy

Volumn 29, Issue 1, 2002, Pages 41-51

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

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b ATOMIC ENERGY ORGANIZATION OF IRAN   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; NUCLEAR FUELS; OPTIMIZATION; SIMULATED ANNEALING;

FUEL MANAGEMENT;

PRESSURIZED WATER REACTORS;

EID: 0036028084     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4549(01)00024-X     Document Type: Article

References (18)

1. Neural network and physical systems with emergent collective computational abilities
2. Neurons with graded response have collective computational properties like those of two-state neurons
3. Pressurized water reactor core parameter prediction using an artificial neural network
4. Optimal fuel loading pattern design using an artificial neural network and a fuzzy rule-based system
5. Optimization by simulated annealing: Quantitative studies
6. Optimization by simulated annealing
7. In-Core Fuel Management of Four Reactor Types
8. Economic load dispatch for piecewise quadratic cost function using hopfield neural network
9. The role of neural networks in reactor diagnostics and control
10. An investigation into improvement of local minima of the hopfield network
11. Fuzzy systems and soft computing in nuclear engineering
12. Potential application of neural networks to operation of nuclear power plants