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  • Bayesian estimation of discrete-time cellular neural network coefficients 

    Authors:Özer, Hakan Metin; Özmen, Atilla; Şenol, Habib
    Publisher and Date:(Tübitak, 2017)
    A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network coefficients. A posterior probability density function (PDF) is composed using the likelihood and prior PDFs derived from the system model and prior information, respectively. This posterior PDF is used to draw samples with the help of the Metropolis algorithm, a special case ...