Now showing items 1-1 of 1

  • Bayesian learning for cellular neural networks 

    Authors:Ozer, Metin
    Publisher and Date:(Kadir Has University, 2013)
    Cellular Neural Networks have been an active research eld since their introduction in the late 80s. Several training algorithms are proposed since then. All have their advantages and disadvantages. Most of them uses deterministic methods to acquire the network parameters. in this thesis a new training method is proposed for Cellular Neural Networks and Discrete-Time Cellular Neural Networks are used for implemented applications. This new method is a probabilistic method. Maximum A Posteriori ...