Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning

Autor: Sabrina S. Calcina, Marcio Gameiro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

We use persistent homology to extract topological information from complex spatio-temporal data generated by differential equations and use this information to estimate the corresponding parameters of the differential equation using regression method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c9503e4cec8fcb49452057fba03405
https://doi.org/10.1016/j.matcom.2021.01.013