{"created":"2023-06-19T11:37:40.286987+00:00","id":5069,"links":{},"metadata":{"_buckets":{"deposit":"43b08d60-5115-49a8-95a4-20e26f300d7b"},"_deposit":{"created_by":13,"id":"5069","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"5069"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:00005069","sets":["366:367:368:393"]},"author_link":["10913","10914","10915"],"item_4_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-12-27","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"61","bibliographicPageStart":"55","bibliographicVolumeNumber":"25","bibliographic_titles":[{"bibliographic_title":"Research reports of the Faculty of Engineering, Mie University"}]}]},"item_4_description_14":{"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 new learning algorithm to enhance fault tolerance of multi-layer neural networks (MLN). This method is based on the idea that strong weights make MLN sensitive to faults. The purpose of new learning algorithm is to remove obstructions of fault tolerance from MLNs. We discuss about obstructions (strong connection and bias of each unit). As a result, we proposed new learning algorithm which is restricting the absolute value of weight and constructing MLNs without bias. We apply this algorithm to pattern recognition problems. It is shown that the fault tolerance of MLNs is improved.","subitem_description_type":"Abstract"}]},"item_4_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Faculty of Engineering, Mie University"}]},"item_4_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0385-6208","subitem_source_identifier_type":"PISSN"}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA00816341","subitem_source_identifier_type":"NCID"}]},"item_4_text_18":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Structure of Multi-layer Neural Networks for fault tolerance"}]},"item_4_text_65":{"attribute_name":"資源タイプ（三重大）","attribute_value_mlt":[{"subitem_text_value":"Departmental Bulletin Paper / 紀要論文"}]},"item_4_version_type_15":{"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":"高瀬, 治彦","creatorNameLang":"ja"},{"creatorName":"TAKASE, Haruhiko","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 智紀","creatorNameLang":"ja"},{"creatorName":"INOUE, Tomonori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"林, 照峯","creatorNameLang":"ja"},{"creatorName":"HAYASHI, Terumine","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-18"}],"displaytype":"detail","filename":"AA008163410250007.PDF","filesize":[{"value":"490.4 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"AA008163410250007.PDF","url":"https://mie-u.repo.nii.ac.jp/record/5069/files/AA008163410250007.PDF"},"version_id":"989c6e4d-de3f-47dc-afa3-169e8cc4bc0a"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Fault  tolerance","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural networks","subitem_subject_scheme":"Other"},{"subitem_subject":"Back Propagation algorithm","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"階層型ニューラルネットワークの構成と耐故障性の関係","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"階層型ニューラルネットワークの構成と耐故障性の関係","subitem_title_language":"ja"}]},"item_type_id":"4","owner":"13","path":["393"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2007-07-02"},"publish_date":"2007-07-02","publish_status":"0","recid":"5069","relation_version_is_last":true,"title":["階層型ニューラルネットワークの構成と耐故障性の関係"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2023-10-05T07:30:49.549074+00:00"}