著者

伊藤 雅仁 篠嶋 友也 望月 祐志 秋永 宜伸 小杉 範仁

出版者

日本コンピュータ化学会

雑誌

Journal of Computer Chemistry, Japan (ISSN:13471767)

巻号頁・発行日

vol.18, no.3, pp.132-135, 2019 (Released:2019-10-30)

参考文献数

22

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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.