Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Physics-informed ANN"'
Applications of the neuro-evolutionary approach to the parabolic type partial differential equations
Publikováno v:
Ain Shams Engineering Journal, Vol 16, Iss 1, Pp 103186- (2025)
This work aims to investigate the Cuckoo search-active set algorithm (CS-ASA), which is based on the artificial neural network (ANN) approach to the nonlinear partial differential equations (PDEs). CS-ASA technique modifies the Cuckoo search best pos
Externí odkaz:
https://doaj.org/article/ee2d688b617c47f7af7da2c45fb433e6
Autor:
Andreas Zilian, Hamidreza Dehghani
We introduce a hybrid “Modified Genetic Algorithm-Multilevel Stochastic Gradient Descent” (MGA-MSGD) training algorithm that considerably improves accuracy and efficiency of solving 3D mechanical problems described, in strong-form, by PDEs via AN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce702377270c611d778d8edea38184bf
http://orbilu.uni.lu/handle/10993/45257
http://orbilu.uni.lu/handle/10993/45257
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