Browsing Electrical Engineering by Subject "Universal approximators"

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    • Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems 

      Elkoujok, M.; Benammar, M.; Meskin, Nader; Al-Naemi, M.; Langari, R. ( 2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 , 2013 , Conference Paper)
      Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ...

    • 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 ...