Browsing Electrical Engineering by Subject "Learning performance"

Now showing items 1-3 of 3

    • Exploiting heterogeneity in operational neural networks by synaptic plasticity 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ...

    • Operational neural networks 

      Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Springer , 2020 , Article)
      Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ...

    • Progressive Operational Perceptrons with Memory 

      Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Elsevier B.V. , 2020 , Article)
      Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...