{"created":"2023-05-15T12:25:35.984203+00:00","id":901,"links":{},"metadata":{"_buckets":{"deposit":"a8611da9-a17e-43a2-aae3-f3a9c4c11751"},"_deposit":{"created_by":4,"id":"901","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"901"},"status":"published"},"_oai":{"id":"oai:kait.repo.nii.ac.jp:00000901","sets":["2:16:41:115"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2001-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"6","bibliographicPageStart":"1","bibliographicVolumeNumber":"25","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":"Holographic neural network, which is new algorithm of neural network, is applied to the control of a vehicle suspension. For the simplified suspension model, using the feedback gain obtained from the optimal control theory, the equation of motion is solved by Runge-Kutta method. The displacement, velocity and control force obtained is adopted as training data for neural network. For simulation the road displacement is assumed to be sinusoidal and its frequency is changed from 1.0Hz to 4.0Hz by 0.1Hz intervals. As the trained network is tested, the results for the road frequency not contained in the training data agree well with the results obtained from the optimal control theory.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34411/00000894","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":"Kozukue, Wakae","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Miyaji, Hideyuki","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-025-001.pdf","filesize":[{"value":"2.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kkb-025-001.pdf","objectType":"fulltext","url":"https://kait.repo.nii.ac.jp/record/901/files/kkb-025-001.pdf"},"version_id":"0ecc38c3-e622-42cb-85fc-0ba4de66ee75"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Optimal Control","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural Network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Vehicle Suspension","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アクティブサスペンションの制御","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アクティブサスペンションの制御","subitem_title_language":"ja"},{"subitem_title":"Control of Vehicle Suspension Using Neural Network","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["115"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-24"},"publish_date":"2020-11-24","publish_status":"0","recid":"901","relation_version_is_last":true,"title":["ニューラルネットワークを用いたアクティブサスペンションの制御"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-04T09:05:04.207661+00:00"}