A hybrid MGA-MSGD ANN training approach for approximate solution of linear elliptic PDEs
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Publication:2666253
DOI10.1016/j.matcom.2021.05.036OpenAlexW3169177929WikidataQ114149963 ScholiaQ114149963MaRDI QIDQ2666253
Andreas Zilian, Hamidreza Dehghani
Publication date: 22 November 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2012.11517
artificial neural networkmodified genetic algorithmdata-driven computational mechanicshybrid training algorithmmultilevel stochastic gradient descentphysics informed ANN
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