Abstract Machine learning (ML) has evolved as a technology used in even broader domains,
ranging from spam detection to space exploration, as a result of the boom in available data …

In recent years, artificial neural networks were included in the prediction of deformations of
structural elements, such as pipes or tensile specimens. Following this method, classical …

The aim of the present study is to develop a series of artificial neural networks (ANN) and to
determine, by comparison to experiments, which type of neural network is able to predict the …

Most investors change stock prices in long-term businesses because of global turbulence in
the markets. Consequently, prediction of stock price is a difficult task because of unknown …

In the present study constitutive equations in finite element simulations are replaced by
means of an artificial neural network (ANN). Following this approach, a physically nonlinear …

Sandwich panels are widely used in the design of unmanned satellites and, in addition to
having a structural function, can often serve as shielding, protecting the satellites' equipment …

With the upgrading of protective equipment, the penetration ability of bullets into protective
equipment is reduced, and the problem of non-penetrating brain injury caused by bullet …

Assessment of slope stability is one of the most critical aspects for the life of a slope. In any
slope vulnerability appraisal, Factor Of Safety (FOS) is the widely accepted index to …

The body armor can effectively reduce penetration injuries and save many soldiers' lives.
However, back face deformation (BFD) accompanied by ballistic impacts on body armor can …

Ballistic resistance behavior of finite thickness material is affected by factors of target
thickness, projectile nose shape, and impact angle. The widely used ballistic limit velocity …