{"created":"2023-06-19T07:57:06.597508+00:00","id":730,"links":{},"metadata":{"_buckets":{"deposit":"36e4524c-0f35-4a6d-9844-0ef5dc4db862"},"_deposit":{"created_by":14,"id":"730","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"730"},"status":"published"},"_oai":{"id":"oai:kitakyu.repo.nii.ac.jp:00000730","sets":["12:2:234"]},"author_link":["857"],"control_number":"730","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1・2・3・4合併号","bibliographicPageEnd":"17","bibliographicPageStart":"1","bibliographicVolumeNumber":"55","bibliographic_titles":[{"bibliographic_title":"北九州市立大学商経論集"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"深層学習（ディープラーニング）の株式予測において、入力情報を多重化にすることにより予測精度に改善が見られるか、シミュレーションにより検証する。","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":"857","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":"2020-04-27"}],"displaytype":"detail","filename":"(SR00551234IY)池田欽一.pdf","filesize":[{"value":"14.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"(SR00551234IY)池田欽一","url":"https://kitakyu.repo.nii.ac.jp/record/730/files/(SR00551234IY)池田欽一.pdf"},"version_id":"684bb111-9734-417e-9bf0-ca72e2c2bc7e"}]},"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":"株価予測","subitem_subject_scheme":"Other"},{"subitem_subject":"Convolutional Neural Network","subitem_subject_scheme":"Other"},{"subitem_subject":"畳み込みニューラルネットワーク","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による株価予測の入力情報の多重化による予測精度向上についての分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディープラーニングによる株価予測の入力情報の多重化による予測精度向上についての分析","subitem_title_language":"ja"},{"subitem_title":"Improvement of Accuracy for Stock Price Prediction by Multiplexing Input Information with Deep Learning","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"14","path":["234"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-04-27"},"publish_date":"2020-04-27","publish_status":"0","recid":"730","relation_version_is_last":true,"title":["ディープラーニングによる株価予測の入力情報の多重化による予測精度向上についての分析"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-04-03T07:08:10.337489+00:00"}