This chapter proposes an efficient hybrid training technique (ALOMLP) based on the Ant
Lion Optimizer (ALO) to be utilized in dealing with Multi-Layer Perceptrons (MLPs) neural …

Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

In this study, an analytical solution based on the first-order shear deformation theory was
performed for free vibration and buckling analysis of functionally graded porous beams …

This paper proposes a new hybrid stochastic training algorithm using the recently proposed
grasshopper optimization algorithm (GOA) for multilayer perceptrons (MLPs) neural …

This study represents a numerical research in vibration and buckling of functionally graded
material (FGM) beam comprising edge crack by using finite element method (FEM) and …

This paper investigates the artificial neural network (ANN) to predict the dimensionless
parameters for contact pressures and contact lengths under the rigid punch, the initial …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

We review the growing use of machine learning in electron microscopy (EM) driven in part
by the availability of fast detectors operating at kiloHertz frame rates leading to large data …

This paper presents a comparative study of different methods, such as the analytical method,
finite element method (FEM), and multilayer perceptron (MLP) for analyzing a frictionless …

Condition monitoring of piston pumps has great significance to ensure the reliability and
security of hydraulic systems. However, the complex working conditions of the integrated …