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

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

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

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

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

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

[2]	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