A Novel Method for Solving Ordinary Differential Equations with Artificial Neural Networks

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"A Novel Method for Solving Ordinary Differential Equations with Artificial Neural Networks"
written by Roseline N. Okereke, Olaniyi S. Maliki, Ben I. Oruh,
published by Applied Mathematics, Vol.12 No.10, 2021

has been cited by the following article(s):

[1]	Utilizing the Artificial Neural Network Approach for the Resolution of First-Order Ordinary Differential Equations
	Malaysian Journal of …, 2024

[2]	Engineering method for calculating fluid flow in pipes with different cross sections in energy and technological processes
	E3S Web of Conferences, 2023

[3]	The method of averaging over a movable liquid control volume for some problems of fluid mechanics
	E3S Web of Conferences, 2023

[4]	Curriculum Learning-Based Approach to Design an Unsupervised Neural Model for Solving Emden–Fowler Type Equations of Third Order
	Mathematical Methods in Dynamical …, 2023

[5]	rAAV Manufacturing: The Challenges of Soft Sensing during Upstream Processing
	Culf - Bioengineering, 2023

[6]	The Approximation Error of Ordinary Differential Equations Based on the Moved Node Method
	Journal of Applied Mathematics and Physics, 2022

[7]	Approximating Ordinary Differential Equations by Means of the Chess Game Moves
	Pitarch, 2022

[8]	Using of multilayer neural networks for the solving systems of differential equations
	2021

[1]	Utilizing the Artificial Neural Network Approach for the Resolution of First-Order Ordinary Differential Equations Malaysian Journal of Science and Advanced Technology, 2024 DOI:10.56532/mjsat.v4i3.265

[2]	Efficient solutions to time-fractional telegraph equations with Chebyshev neural networks Physica Scripta, 2024 DOI:10.1088/1402-4896/ad7c93

[3]	rAAV Manufacturing: The Challenges of Soft Sensing during Upstream Processing Bioengineering, 2023 DOI:10.3390/bioengineering10020229

[4]	Engineering method for calculating fluid flow in pipes with different cross sections in energy and technological processes E3S Web of Conferences, 2023 DOI:10.1051/e3sconf/202337103021