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- W315973323 abstract "this paper presents a comparative study of the discrete event system diagnosis between the timed automata and the Recurrent Neural Network. In a general way, the diagnosis is based whether the measured event time sequences are consistent with the discrete event model. On the one hand, we use timed automata as a discrete event representation with time distance between events. On the other hand, we use Recurrent Radial Basis Function Network (RRBF) to learn the timed sequences. We give comparative results in the diagnosis of a DES example." @default.
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- W315973323 date "2006-01-01" @default.
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- W315973323 title "COMPARATIVE STUDY BETWEEN THE TIMED AUTOMATA AND THE RECURRENT RADIAL BASIS FUNCTION FOR DISCRETE EVENT SYSTEM DIAGNOSIS" @default.
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- W315973323 doi "https://doi.org/10.3182/20060829-4-cn-2909.00242" @default.
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