Abstract
In the last years, many different approaches based on neural network (NN) have been proposed for transient identification in nuclear power plants (NPPS). Some of them focus the dynamic identification using recurrent neural networks, however, they are not able to deal with unrecognized transients. Other kind of solution uses competitive learning in order to allow the “don’t know” response. In this case, dynamic features are not well represented.
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© 2002 Springer-Verlag Berlin Heidelberg
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de A. Mol, A.C., Martinez, A.S., Schirru, R. (2002). A New Approach for Transient Identification with “Don’t Know” Response Using Neural Networks. In: Ruan, D., Fantoni, P.F. (eds) Power Plant Surveillance and Diagnostics. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04945-7_17
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DOI: https://doi.org/10.1007/978-3-662-04945-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07754-8
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