{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236306","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236306","title":["機械学習モデルを用いた断層パラメータ予測に関する一検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"20547ddd-e3ae-401e-b386-da37999f8fe2"},"_deposit":{"id":"236306","pid":{"type":"depid","value":"236306","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習モデルを用いた断層パラメータ予測に関する一検討","author_link":["645892","645893","645891","645890"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習モデルを用いた断層パラメータ予測に関する一検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236306/files/IPSJ-Z86-7W-04.pdf","label":"IPSJ-Z86-7W-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-7W-04.pdf","filesize":[{"value":"464.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"41cc7f75-8de5-49d6-81c8-a71230ff854e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"SANGUK, JEONG"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小松, 一彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 雅之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 広明"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"飛躍的に向上したコンピュータ演算能力を活用する機械学習モデルによって、様々なデータの予測が可能となっている。本研究では、機械学習モデルを用いて，観測された地震データに基づく断層パラメータの予測を行う．これまでは、断層の変形程度などの既知の情報に基づいて断層パラメータを予測してきた。しかし、大規模地震の断層のデータは少ないため、精度の高い予測が困難である。そのため、本研究では、小規模な地震も含め、様々な観測データを特徴量として活用し、機械学習を行うことで、様々な地震における断層のパラメータの推定を行う。また、適切に特長量を選択して機械学習を行うことで高い精度で推定を行う。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"948","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"947","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236306,"updated":"2025-01-19T09:18:43.191584+00:00","links":{},"created":"2025-01-19T01:38:17.118171+00:00"}