{"created":"2023-07-27T04:40:52.355845+00:00","id":21909,"links":{},"metadata":{"_buckets":{"deposit":"a3979e8f-9c9c-45c4-b033-c6b318f651c2"},"_deposit":{"created_by":3,"id":"21909","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"21909"},"status":"published"},"_oai":{"id":"oai:tohoku.repo.nii.ac.jp:00021909","sets":["90:171"]},"author_link":["51718","51720","51719"],"item_4_alternative_title_20":{"attribute_name":"その他の言語のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"誤差逆伝播ネットワークによる重ね書き記憶"}]},"item_4_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-07-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"120","bibliographicPageStart":"111","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"東北大学医療技術短期大学部紀要 = Bulletin of College of Medical Sciences, Tohoku University"}]}]},"item_4_date_62":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2008-05-02","subitem_date_issued_type":"Created"}]},"item_4_date_63":{"attribute_name":"公開日（投稿完了日）","attribute_value_mlt":[{"subitem_date_issued_datetime":"2008-05-02","subitem_date_issued_type":"Created"}]},"item_4_date_65":{"attribute_name":"発行日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2003-07-31","subitem_date_issued_type":"Created"}]},"item_4_date_80":{"attribute_name":"更新日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2010-01-27","subitem_date_issued_type":"Created"}]},"item_4_description_15":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_4_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We propose a novel neural network for incremental learning tasks where networks are required to learn new knowledge without forgetting the old one. An essential core of the proposed neural learning structure is a transferring scheme from short-term memory (STM) into long-term memory (LTM) as in brains by using dynamic changing weights. As the number of LTMs increases, a new network structure is superimposed on the previous one without disturbing the past LTMs by introducing a lateral inhibition mechanism. Superiority of the proposed neural structure to the conventional backpropagation networks is proven with respect to the learning ability.","subitem_description_type":"Abstract"}]},"item_4_description_41":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"紀要類(bulletin)","subitem_description_type":"Other"}]},"item_4_description_66":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"671882 bytes","subitem_description_type":"Other"}]},"item_4_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"51720","nameIdentifierScheme":"WEKO"}],"names":[{"name":"本間, 経康"}]}]},"item_4_publisher_34":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"東北大学医療技術短期大学部"}]},"item_4_radio_69":{"attribute_name":"公開範囲","attribute_value_mlt":[{"subitem_radio_item":"学外"}]},"item_4_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09174435","subitem_source_identifier_type":"ISSN"}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN1037430X","subitem_source_identifier_type":"NCID"}]},"item_4_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"HOMMA, Noriyasu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"GUPTA, Madan M."}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-10"}],"displaytype":"detail","filename":"KJ00000691630.pdf","filesize":[{"value":"671.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KJ00000691630.pdf","url":"https://tohoku.repo.nii.ac.jp/record/21909/files/KJ00000691630.pdf"},"version_id":"b8a7fa92-0f2c-4762-b4f6-ecf4df86edee"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Neural networks","subitem_subject_scheme":"Other"},{"subitem_subject":"incremental learning","subitem_subject_scheme":"Other"},{"subitem_subject":"pattern classification and long-term memory","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Memory Superimposition by Backpropagation Neural Networks","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Memory Superimposition by Backpropagation Neural Networks"}]},"item_type_id":"4","owner":"3","path":["171"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-05-02"},"publish_date":"2008-05-02","publish_status":"0","recid":"21909","relation_version_is_last":true,"title":["Memory Superimposition by Backpropagation Neural Networks"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-27T18:57:20.861538+00:00"}