Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
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転移学習と生成ネットワークの試行事例
伊藤 雅仁篠嶋 友也望月 祐志秋永 宜伸小杉 範仁
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2019 年 18 巻 3 号 p. 132-135

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Transfer learning has attracted interests because of the reduction of training costs. We applied this technique to the analyses for visualized results of computational fluid dynamics (CFD) simulations on 2-dimensional wing models. The accuracy and cost reduction were addressed. Preliminary studies of generative network have been made as well.

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