Inspired by the biological nervous system, an artificial neural network (ANN) approach is a
fascinating mathematical tool, which can be used to simulate a wide variety of complex …

Fibre composite materials (FCMs) are widely used in the aerospace, military defence, and
engineering manufacturing industries due to their high strength and high modulus …

This paper proposes a system for wind turbine condition monitoring using Adaptive Neuro-
Fuzzy Interference Systems (ANFIS). For this purpose:(1) ANFIS normal behavior models for …

Ill-posedness. Regularization. Stability. Uniqueness. To many engineers, the language of
inverse analysis projects a mysterious and frightening image, an image made even more …

Artificial neural networks (ANN) have emerged as one of the useful artificial intelligence
concepts used in the various engineering applications. Due to their massively parallel …

When dealing with the mechanics of deformable bodies, the variation of the applied force is
one of the most important factors to be considered. The mechanical force acting on a body …

An investigation was conducted to develop a real-time identification technique for the
prediction of the location and force history of low-velocity impacts on composite panels with …

In this work, a new methodology is presented for reconstruction of the impact force history
using artificial neural networks (ANNs) and spectral components of sensor data recorded by …

STRUCTURES can encounter impacts from a variety of sources over their lifetime.
Accidental impact can be a serious concern to structural integrity. Especially for composite …

This paper investigates the artificial neural network (ANN) to predict the dimensionless
parameters for the maximum contact pressures and contact areas of a contact problem …