{"created":"2023-05-15T12:25:37.501193+00:00","id":928,"links":{},"metadata":{"_buckets":{"deposit":"f92b8c96-1288-4dc3-99b9-9a21309a8732"},"_deposit":{"created_by":4,"id":"928","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"928"},"status":"published"},"_oai":{"id":"oai:kait.repo.nii.ac.jp:00000928","sets":["2:16:41:116"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2002-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"4","bibliographicPageStart":"1","bibliographicVolumeNumber":"26","bibliographic_titles":[{"bibliographic_title":"神奈川工科大学研究報告.B,理工学編"}]}]},"item_10002_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The Learning Vector Quantization (LVQ) neural network is applied to the defect identification problem for structures, which is important when constructing the mathematical model of structures. In this study the eigenmodes of a plate obtained from FEM and the location of the defect contained in that plate are used as the training data for neural network and by giving the unlearned input data to the trained network the position of the defect is identified. As a result the better accuracy is obtained compared to the case obtained by the backpropagation neural network commonly used in the various works.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34411/00000921","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"神奈川工科大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10074179","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09161902","subitem_source_identifier_type":"PISSN"}]},"item_10002_version_type_20":{"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":"小机, わかえ","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"宮地, 秀征","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"小野, 智洋","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"高田, 英明","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"Kozukue, Wakae","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Miyaji, Hideyuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ono, Tomohiro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takada, Hideaki","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2010-02-03"}],"displaytype":"detail","filename":"kkb-026-001.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kkb-026-001.pdf","objectType":"fulltext","url":"https://kait.repo.nii.ac.jp/record/928/files/kkb-026-001.pdf"},"version_id":"5b2cdbe8-40cf-4250-86a7-396a0ce89ce4"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Neural Network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Structural Identification","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Learning Vector Quantization","subitem_subject_language":"en","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":"学習ベクトル量子化ニューラルネットワークを用いた欠陥同定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"学習ベクトル量子化ニューラルネットワークを用いた欠陥同定","subitem_title_language":"ja"},{"subitem_title":"Defect Identification Using Learning Vector Quantization Neural Network","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["116"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-24"},"publish_date":"2020-11-24","publish_status":"0","recid":"928","relation_version_is_last":true,"title":["学習ベクトル量子化ニューラルネットワークを用いた欠陥同定"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-04T09:07:08.509957+00:00"}