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Autor:
Bollinger, Kayla, Schaeffer, Hayden
This paper presents a nonlinear model reduction method for systems of equations using a structured neural network. The neural network takes the form of a "three-layer" network with the first layer constrained to lie on the Grassmann manifold and the
Externí odkaz:
http://arxiv.org/abs/2012.09940
Autor:
Armoskus, Chris, Moreira, Debbie, Bollinger, Kayla, Jimenez, Oliva, Taniguchi, Saori, Tsai, Houng-Wei
Publikováno v:
In Brain Research 8 May 2014 1562:23-38
Autor:
Bollinger, Kayla
This thesis presents two nonlinear model reduction methods for systems of equations. One model utilizes a structured neural network, taking the form of a “threelayer” network with the first layer constrained to lie on the Grassmann manifold and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1244fb16d2632679b9ded9196a0b17b5