{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00117231","sets":["6504:7962:7965"]},"path":["7965"],"owner":"1","recid":"117231","title":["バックプロパゲーションにおける高速アルゴリズムの研究 : 補習学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"1989-10-16"},"_buckets":{"deposit":"52976941-2acc-4f89-9b7d-0827b051f521"},"_deposit":{"id":"117231","pid":{"type":"depid","value":"117231","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"バックプロパゲーションにおける高速アルゴリズムの研究 : 補習学習","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"バックプロパゲーションにおける高速アルゴリズムの研究 : 補習学習"},{"subitem_title":"A study on Supplementary leaning algorithm in back propagation","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1989-10-16","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":"(株)富士通研究所"},{"subitem_text_value":"(株)富士通研究所"},{"subitem_text_value":"(株)富士通研究所"},{"subitem_text_value":"(株)富士通研究所"},{"subitem_text_value":"(株)富士通研究所"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"FUJITSU LABORATORIES LIMITED","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LIMITED","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LIMITED","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LIMITED","subitem_text_language":"en"},{"subitem_text_value":"FUJITSU LABORATORIES LIMITED","subitem_text_language":"en"}]},"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/117231/files/KJ00001335501.pdf"},"date":[{"dateType":"Available","dateValue":"1989-10-16"}],"format":"application/pdf","filename":"KJ00001335501.pdf","filesize":[{"value":"162.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f5ef9ab5-8a9f-43d8-8e32-e510284e2e64","displaytype":"detail","licensetype":"license_note"}]},"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":"近年,階層型ニューラルネットワークの学習方式として,バックプロパゲーション法(以下BPと省略)が注目を集めているが,その実行には膨大な計算時間を要し,その高速化が求められている.我々は,ニューラルネットワークの並列処理の特徴を生かしながら,柔軟性に富む高速な学習アルゴリズムの開発を進めた.我々は高速化に対する1つの解答として,追記学習アルゴリズムを既に開発した.今回は,学習中の無駄な計算を低減することに着目した補習学習法を報告する.更に,それらのアルゴリズムをアルファベットフォント認識の学習に適用した結果を示す.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"384","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"383","bibliographicIssueDates":{"bibliographicIssueDate":"1989-10-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能および認知科学","bibliographicVolumeNumber":"第39回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":117231,"updated":"2025-01-21T05:26:32.660900+00:00","links":{},"created":"2025-01-18T23:58:12.660326+00:00"}