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• W1556738993 abstract "In this work we evaluate the behaviour of the extended Kalman filter as a recursive training algorithm for neural networks in real-time. It shows that the extended Kalman filter is a very potential candidate for on-line training of neural networks and as fast as the sequential backpropagation algorithm with momentum, but with better global convergence properties. It could not be shown that a recurrent neural network with external feedback is sufficient to give a dynamic representation of the process." @default.
• W1556738993 created "2016-06-24" @default.
• W1556738993 creator A5043357778 @default.
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• W1556738993 date "2000-01-01" @default.
• W1556738993 modified "2023-10-02" @default.
• W1556738993 title "Training a recurrent neural network by the extended Kalman filter as an identification tool" @default.
• W1556738993 cites W2012231377 @default.
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• W1556738993 doi "https://doi.org/10.1016/s1570-7946(00)80039-5" @default.
• W1556738993 hasPublicationYear "2000" @default.
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