Neural network approach to data-driven estimation of chemotactic sensitivity in the Keller-Segel model
We consider the mathematical model of chemotaxis introduced by Patlak, Keller, and Segel. Aggregation and progression waves are present everywhere in the population dynamics of chemotactic cells. Aggregation originates from the chemotaxis of mobile cells, where cells are attracted to migrate to high...
Guardado en:
Autores principales: | Sunwoo Hwang, Seongwon Lee, Hyung Ju Hwang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIMS Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9602e92d47e646cc9d3ee6983704e602 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A detailed study on a solvable system related to the linear fractional difference equation
por: Durhasan Turgut Tollu, et al.
Publicado: (2021) -
Aqueous humor dynamics in human eye: A lattice Boltzmann study
por: Zhangrong Qin, et al.
Publicado: (2021) -
Microfluidics: A Novel Approach for Dehydration Protein Droplets
por: Van Nhat Pham, et al.
Publicado: (2021) -
Multiscale Convergence of the Inverse Problem for Chemotaxis in the Bayesian Setting
por: Kathrin Hellmuth, et al.
Publicado: (2021) -
Analysis of some Katugampola fractional differential equations with fractional boundary conditions
por: Barbara Łupińska, et al.
Publicado: (2021)