{"updated":"2025-01-19T16:21:25.313242+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215023","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215023","title":["ニューラルネットワークによる非線形4階偏微分方程式の係数と解の予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"1e7f6e87-03c5-488c-9483-c19f5c23bdc9"},"_deposit":{"id":"215023","pid":{"type":"depid","value":"215023","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラルネットワークによる非線形4階偏微分方程式の係数と解の予測","author_link":["553418","553420","553419"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークによる非線形4階偏微分方程式の係数と解の予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/215023/files/IPSJ-Z83-1R-04.pdf","label":"IPSJ-Z83-1R-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1R-04.pdf","filesize":[{"value":"464.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f1323e19-60c4-40a1-95dc-640f6f456328","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"寺嶋, 達磨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"村手, 翼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 崇"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"高階の非線形偏微分方程式の係数と解の予測において, ニューラルネットワークは有効なのだろうか. 先行研究では, Burgers方程式, Schrödinger方程式などを始めとした, 3階以下の非線形偏微分方程式において, 本ネットワークの有効性が明らかになっている. しかし, 4階以上の非線形偏微分方程式において, その有効性は明らかではない. そこで, 本研究は, 4階の非線形偏微分方程式である蔵本-Sivashinsky方程式に注目し, ネットワークの層数やユニット数などの諸条件の違いを考慮しながら, ニューラルネットワークの有効性を検証した.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"448","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"447","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215023,"created":"2025-01-19T01:15:48.555511+00:00"}