Nuclear reactor dynamics on-line estimation by Locally Recurrent Neural Networks

Progress in Nuclear Energy

Volumn 51, Issue 3, 2009, Pages 573-581

  Zio, Enrico ^a   Broggi, Matteo ^b   Pedroni, Nicola ^a  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Causal Recursive Back Propagation (CRBP) algorithm; Infinite Impulse Response Locally Recurrent Neural Network (IIR LRNN); Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE XADS); Nonlinear dynamics; On line training; Transient recovery

Indexed keywords

BACKPROPAGATION; BISMUTH; COMPUTER SYSTEM RECOVERY; DYNAMICS; EUTECTICS; IMPULSE RESPONSE; METAL RECOVERY; NEURAL NETWORKS; NUCLEAR ENERGY; NUCLEAR PROPULSION; NUCLEAR REACTORS; RECURSIVE FUNCTIONS; REINFORCEMENT LEARNING;

CAUSAL RECURSIVE BACK-PROPAGATION (CRBP) ALGORITHM; INFINITE IMPULSE RESPONSE-LOCALLY RECURRENT NEURAL NETWORK (IIR-LRNN); LEAD-BISMUTH EUTECTIC-EXPERIMENTAL ACCELERATOR DRIVEN SYSTEM (LBE-XADS); NONLINEAR DYNAMICS; ON-LINE TRAINING; TRANSIENT RECOVERY;

RECURRENT NEURAL NETWORKS;

EID: 60449098796     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2008.11.006     Document Type: Article

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