Assessment of machine learning methods predicting the axial vibration frequencies of microbars
Aiman Tariq,
Büşra Uzun,
Babür Deliktaş
et al.
Abstract:Microbars are one of the important components of microelectromechanical systems. With the recent increase in their applications, the importance of understanding their mechanical response has become an important topic. In this study, for the first time, the mechanical behavior of microbars based on the strain gradient theory is investigated using a machine learning (ML) approach. Four distinct ML models, namely artificial neural network (ANN), support vector regression (SVR), decision tree regression (DTR), and… Show more
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