2023
DOI: 10.3390/axioms12050429
|View full text |Cite
|
Sign up to set email alerts
|

Study of Burgers–Huxley Equation Using Neural Network Method

Abstract: The study of non-linear partial differential equations is a complex task requiring sophisticated methods and techniques. In this context, we propose a neural network approach based on Lie series in Lie groups of differential equations (symmetry) for solving Burgers–Huxley nonlinear partial differential equations, considering initial or boundary value terms in the loss functions. The proposed technique yields closed analytic solutions that possess excellent generalization properties. Our approach differs from e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 28 publications
0
4
0
Order By: Relevance
“…Moreover, computational modeling approaches, including ordinary differential equations (ODEs), partial differential equations (PDEs), agent-based models, and network modeling, can simulate and predict the behaviors of complex systems like organoids (Gonçalves and García-Aznar, 2023;Pleyer and Fleck, 2023;Wen and Chaolu, 2023). These models integrate known biological mechanisms and parameters to study emergent properties, test hypotheses, and explore the effects of perturbations on organoid development, functionality, and response to external factors (Montes-Olivas et al, 2019).…”
Section: Characterization Of Organoids As Complex (Bio)systemsmentioning
confidence: 99%
“…Moreover, computational modeling approaches, including ordinary differential equations (ODEs), partial differential equations (PDEs), agent-based models, and network modeling, can simulate and predict the behaviors of complex systems like organoids (Gonçalves and García-Aznar, 2023;Pleyer and Fleck, 2023;Wen and Chaolu, 2023). These models integrate known biological mechanisms and parameters to study emergent properties, test hypotheses, and explore the effects of perturbations on organoid development, functionality, and response to external factors (Montes-Olivas et al, 2019).…”
Section: Characterization Of Organoids As Complex (Bio)systemsmentioning
confidence: 99%
“…The Burgers-Huxley equation is widely used in biology, physics, economics, etc., as it describes the propagation of an impulse, such as that of a muscle. In its general form it includes an accumulation term, a drag term, a diffusion term, and a generation or decay term, as follows [1,2]:…”
Section: Burgers-huxley Equationmentioning
confidence: 99%
“…The Burgers-Huxley equation is a partial differential equation [1,2], based on the Burgers equation, which involves accumulation, diffusion, drag, and species generation or sink phenomena. This or similar equations [3][4][5][6], together with its approximate solutions, are common in many areas of science and engineering, such as fluid mechanics [7,8], heat transmission [9][10][11][12][13][14], air pollutant emissions [15][16][17], chloride diffusion in concrete [18][19][20][21][22][23][24], nonlinear acoustics [25,26], optical fibres [27][28][29][30][31][32], and other areas.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the Burgers-Huxley equation is an ordinary differential equation that is widely used in physics, biology, economics, etc., and includes terms such as drag, accumulation, generation or decay, and diffusion. This equation has the following form [2,3,32]:…”
Section: Introductionmentioning
confidence: 99%