Journal of Electrical Engineering and Technology

  • 제2권4호
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  • Pages.543-548
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  • 2007
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Design of Time-varying Stochastic Process with Dynamic Bayesian Networks

  • 발행 : 2007.12.31
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초록

We present a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an on-line algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of load traffic estimation using our DBN approach.

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참고문헌

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피인용 문헌

  1. Dynamic Bayesian modelling of non-stationary stochastic systems using constrained least square estimation and gradient descent optimisation vol.6, pp.6, 2012, https://doi.org/10.1049/iet-spr.2010.0081
  2. Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling vol.18, pp.2, 2010, https://doi.org/10.1109/TCST.2009.2020863