With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …

In this paper, we propose a novel machine learning classifier by deriving a new adaptive
momentum back-propagation (BP) artificial neural networks algorithm. The proposed …

In recent years artificial neural networks (ANNs) have been applied to many geotechnical
engineering problems with some degree of success. With respect to the design of pile …

The free and forced vibrations of a Kelvin–Voigt viscoelastic beam, supported by a nonlinear
spring are analytically investigated in this paper. The governing equations of motion along …

An artificial neural network (ANN) is used to model the frequency of the first mode, using the
beam length, the moment of inertia, and the load applied on the beam as input parameters …

Particle damping is an effective method of passive vibration control, of recent research
interest. The novel use of particle damper capsule on a Printed Circuit Board (PCB) and the …

The purpose of this paper is to present efficient and accurate analytical expressions for large
amplitude free vibration and post-buckling analysis of unsymmetrically laminated composite …

In this study, the nonlinear vibration and stability of a simply supported axially moving
Rayleigh viscoelastic beam equipped with an intermediate nonlinear support are …

The general purpose of the present study is to investigate the geometrically non-linear
forced vibration of multi-stepped beams carrying masses. This study was carried out on the …