Neural network approach to data-driven estimation of chemotactic sensitivity in the Keller-Segel model

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...

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Bibliographic Details
Main Authors: Sunwoo Hwang, Seongwon Lee, Hyung Ju Hwang
Format: Article
Language:English
Published: AIMS Press 2021-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
differential equation
approximated solution
artificial neural networks
patlak-keller-segel equation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2021421?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2021421?viewType=HTML

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