{"created":"2023-05-15T12:25:32.068881+00:00","id":827,"links":{},"metadata":{"_buckets":{"deposit":"6615d8aa-7ab8-4a65-8a5a-139a5f076ad3"},"_deposit":{"created_by":4,"id":"827","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"827"},"status":"published"},"_oai":{"id":"oai:kait.repo.nii.ac.jp:00000827","sets":["2:16:41:112"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1998-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"4","bibliographicPageStart":"1","bibliographicVolumeNumber":"22","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 application of a holographic neural network (HNN), which is new algorithm of neural network (NN), to inverse problems such as a structural identification problem is investigated. For a simple beam model the training of NN is carried out by setting eigenmodes of the beam as input data and a element number and Young's modulus of a defect contained in the beam as output data. After the training of NN the result for output is obtained from the testing of NN by using some input data which are not learned by NN. As for the method for obtaining the element number of a defect, the analog method and the degital method are tested to obtain the output. It is shown that the analog method has better acruracy than the digital method. As a result it is concluded that the HNN has the capability to solve inverse problems such as a structural identification problem.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34411/00000820","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":"萩原, 一郎","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"施, 勤忠","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"Kozukue, Wakae","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Miyaji, Hideyuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Hagiwara, Ichiro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Shi, Qinzhong","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-022-001.pdf","filesize":[{"value":"2.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kkb-022-001.pdf","objectType":"fulltext","url":"https://kait.repo.nii.ac.jp/record/827/files/kkb-022-001.pdf"},"version_id":"8d30bf5e-e61c-4c71-bee2-b0efe60b9a8e"}]},"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":"Inverse Problem","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Structural Identification","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Vibration","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":"ニューラルネットワークを用いた逆問題解析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークを用いた逆問題解析","subitem_title_language":"ja"},{"subitem_title":"Inverse Problem Analysis Using Negural Network","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["112"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-24"},"publish_date":"2020-11-24","publish_status":"0","recid":"827","relation_version_is_last":true,"title":["ニューラルネットワークを用いた逆問題解析"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-18T03:24:19.801675+00:00"}