{"created":"2023-06-19T07:56:57.254761+00:00","id":552,"links":{},"metadata":{"_buckets":{"deposit":"8dfd5e1e-6bb7-4818-a2fe-7e3740861b84"},"_deposit":{"created_by":14,"id":"552","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"552"},"status":"published"},"_oai":{"id":"oai:kitakyu.repo.nii.ac.jp:00000552","sets":["12:2:158"]},"author_link":["649","650"],"control_number":"552","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1・2・3・4","bibliographicPageEnd":"26","bibliographicPageStart":"13","bibliographicVolumeNumber":"52","bibliographic_titles":[{"bibliographic_title":"商経論集"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本研究では、近年飛躍的な進化を遂げたニューラルネット技術（ディープラーニング）の株式投資へ応用可能性というテーマで分析を行っている。ディープラーニングの学習手法やシミュレーション分析を行う際の実装方法、実際の株価を用いたシミュレーション分析の方法と結果についてまとめている。","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"北九州市立大学経済学会"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11572872","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13472623","subitem_source_identifier_type":"PISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"池田, 欽一","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"649","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"林田, 実","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"650","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-04-14"}],"displaytype":"detail","filename":"(SR00521234IY)池田,林田ｐ.13～p.26.pdf","filesize":[{"value":"7.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"(SR00521234IY)池田,林田ｐ.13～p.26","url":"https://kitakyu.repo.nii.ac.jp/record/552/files/(SR00521234IY)池田,林田ｐ.13～p.26.pdf"},"version_id":"9710cf46-7b58-46c0-8e3c-6f274b2db4ec"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ディープラーニング","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_scheme":"Other"},{"subitem_subject":"株価予測","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":"ディープラーニングの株価予測への応用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディープラーニングの株価予測への応用","subitem_title_language":"ja"},{"subitem_title":"Application of Deep Learning to Stock Price Forecasting","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"14","path":["158"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-04-14"},"publish_date":"2017-04-14","publish_status":"0","recid":"552","relation_version_is_last":true,"title":["ディープラーニングの株価予測への応用"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-04-10T11:46:57.601972+00:00"}