{"updated":"2025-01-19T09:31:57.935668+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235756","sets":["6504:11678:11697"]},"path":["11697"],"owner":"44499","recid":"235756","title":["データサイズに応じたCNNの畳み込み層の深さ分析とカーネルの形状変化による比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"f466b686-5404-4ebd-84c5-46ec003b221d"},"_deposit":{"id":"235756","pid":{"type":"depid","value":"235756","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"データサイズに応じたCNNの畳み込み層の深さ分析とカーネルの形状変化による比較","author_link":["644255","644254"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"データサイズに応じたCNNの畳み込み層の深さ分析とカーネルの形状変化による比較"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"大阪教大"},{"subitem_text_value":"大阪教大"}]},"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/235756/files/IPSJ-Z86-5L-02.pdf","label":"IPSJ-Z86-5L-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-5L-02.pdf","filesize":[{"value":"136.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ffd251fb-54d6-405e-896c-cefb25635fc9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"友光, 祐輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"望月, 久稔"}],"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":"データサイズの大きさとCNNにおける畳み込み層の深さの関係について,本研究はデータに対する適切な深さの分析を目的とし,データサイズと畳み込み層の深さ,それぞれの変化による予測精度への影響を検証する.また,表データの行と列に配置した属性や変数間で弱い相関が生じることを考慮し,相関の弱いデータ間の畳み込み演算を削減するためにカーネルの形状を長方形に拡張する.データサイズと長方形カーネル,畳み込み層の深さの関係を包括的に比較し,CNNの最適な形状を検討する.最後に,カーネルの形状と深さの最適化がEfficientNetとLSTMの統合モデルで機能するか,為替の回帰予測により検証する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"298","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"297","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:37:25.103993+00:00","id":235756,"links":{}}