Neural network approach to data-driven estimation of chemotactic sensitivity in the Keller-Segel model
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Publication:2092227
DOI10.3934/mbe.2021421zbMath1505.92022OpenAlexW3202076746MaRDI QIDQ2092227
Sunwoo Hwang, Seongwon Lee, Hyung-Ju Hwang
Publication date: 2 November 2022
Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mbe.2021421
Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Cell movement (chemotaxis, etc.) (92C17)
Uses Software
Cites Work
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