Solving Inhomogeneous Constant Coefficient Ordinary Differential Equations Using Artificial Neural Networks

Ordinary differential equations are fundamental tools for modeling dynamic systems in science, engineering, and applied mathematics. Solving these equations accurately and efficiently is crucial, particularly in cases where analytical solutions are challenging or impossible to obtain. This paper pre...

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Egile Nagusiak:	Laure Gouba, Carine Ornela Megne Nono
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-05-01
Saila:	Axioms
Gaiak:	ordinary differential equations artificial neural networks Python
Sarrera elektronikoa:	https://www.mdpi.com/2075-1680/15/5/333
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!