Incorporating uncertainty in data driven regression models of fluidized bed gasification: A Bayesian approach

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@Article{Pan:2016:FPT,
  author =       "Indranil Pan and Daya Shankar Pandey",
  title =        "Incorporating uncertainty in data driven regression
                 models of fluidized bed gasification: A Bayesian
                 approach",
  journal =      "Fuel Processing Technology",
  volume =       "142",
  pages =        "305--314",
  year =         "2016",
  ISSN =         "0378-3820",
  DOI =          "doi:10.1016/j.fuproc.2015.10.027",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0378382015302149",
  abstract =     "In recent years, different non-linear regression
                 techniques using neural networks and genetic
                 programming have been applied for data-driven modelling
                 of fluidized bed gasification processes. However, none
                 of these methods explicitly take into account the
                 uncertainty of the measurements and predictions. In
                 this paper, a Bayesian approach based on Gaussian
                 processes is used to address this issue. This method is
                 used to predict the syngas yield production and the
                 lower heating value (LHV) for municipal solid waste
                 (MSW) gasification in a fluidized bed gasifier. The
                 model parameters are calculated using the maximum
                 a-posteriori (MAP) estimate and compared with the
                 Markov Chain Monte Carlo (MCMC) method. The simulations
                 demonstrate that the Bayesian methodology is a powerful
                 technique for handling the uncertainties in the model
                 and making probabilistic predictions based on
                 experimental data. The method is generic in nature and
                 can be extended to other types of fuels as well.",
  keywords =     "genetic algorithms, genetic programming, Municipal
                 solid waste, Bayesian statistics, Gaussian processes,
                 Gasification, Fluidized bed gasifier",
}

Genetic Programming entries for Indranil Pan Daya Shankar Pandey

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