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 …

This paper presents the quantification of uncertain natural frequency for laminated
composite plates by using a novel surrogate model. A group method of data handling in …

This paper presents a stochastic dynamic analysis of functionally graded plates by following
an efficient neural network based approach coupled with the finite element method. An …

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

Predictions of long-shore sediment transport rate (LSTR) are a vital task for coastal
engineers in the determination of erosion or accretion along coasts. Many scientists have …

In this paper, we have introduced a method which is based on the use of unsupervised type
of regression-based algorithm (RBA) for solving ordinary differential equations (ODEs) with …

Modeling the glass-forming ability (GFA) of bulk metallic glasses (BMGs) is one of the hot
issues ever since bulk metallic glasses (BMGs) are discovered. It is very useful for the …

Floor vibration due to human activities (walking, running, etc.) and operating machines
generally makes inconveniences for residents. The natural vibration frequency of beams is …