Neural network and perturbation theory hybrid models for eigenvalue prediction

Nuclear Science and Engineering

Volumn 132, Issue 1, 1999, Pages 78-89

  Lysenko, Michael G ^a   Wong, Hing Ip ^a,b   Maldonado, G Ivan ^a  

^a IOWA STATE UNIVERSITY   (United States)

^b EDF R AND D   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER AIDED SOFTWARE ENGINEERING; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; PERTURBATION TECHNIQUES;

COMPLEX NONLINEAR MAPPINGS; EIGENVALUE PREDICTION; ERROR CONTROLLER; NEUTRON DIFFUSION; PERTURBATION THEORY HYBRID MODELS;

NUCLEAR ENGINEERING;

EID: 0032642181     PISSN: 00295639     EISSN: None     Source Type: Journal    
DOI: 10.13182/NSE99-A2050     Document Type: Article

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