Stochastic learning methods for dynamic neural networks: Simulated and real-data comparisons

Proceedings of the American Control Conference

Volumn 4, Issue , 2002, Pages 2577-2582

  Patan, Krzysztof ^a   Parisini, Thomas ^b  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

^b UNIVERSITY OF TRIESTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FAULT DIAGNOSIS SYSTEM; STOCHASTIC ALGORITHMS; STOCHASTIC LEARNING METHODS;

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; FAILURE ANALYSIS; FEEDBACK CONTROL; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION;

STOCHASTIC CONTROL SYSTEMS;

EID: 0036060632     PISSN: 07431619     EISSN: None     Source Type: Journal    
DOI: 10.1109/ACC.2002.1025173     Document Type: Article

References (16)

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8. Training of Elman networks and dynamic system modelling
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10. Stochastic optimization, stochastic approximation and simulated annealing