Differential equations play a vital role in the fields of engineering and science. Problems in
engineering and science can be modeled using ordinary or partial differential equations …

In this study, a combination of genetic algorithm (GA) and neural networks (NN) is proposed
to find the optimal weight of structures subject to multiple natural frequency constraints. The …

Providing precise estimations of soil deformation modulus is very difficult due to its
dependence on many factors. In this study, gene expression programming (GEP) and multi …

Creep experiments were performed to study the mechanical characteristics of Ni-based
single crystal superalloy samples with densely arranged air film holes. An equivalent model …

This paper investigates the solution of Ordinary Differential Equations (ODEs) with initial
conditions using Regression Based Algorithm (RBA) and compares the results with arbitrary …

In this investigation, a novel single layer Functional Link Neural Network namely,
Chebyshev artificial neural network (ChANN) model with regression-based weights has …

This paper presents a new damage detection and localization technique based on the
changes in vibration parameters using BAT and Particle Swarm Optimization algorithm. The …

This paper introduces a new algorithm for solving ordinary differential equations (ODEs) with
initial or boundary conditions. In our proposed method, the trial solution of differential …

As the finite element method requires many nodes or elements to obtain accurate results,
the adaptive finite element method has been developed to obtain better results with fewer …

Cantilever steel beams of uniform strength are having various industrial applications. In
particular when it is used as leaf spring it undergoes very large deflection in comparison to …