{"created":"2023-05-15T10:00:49.692163+00:00","id":5250,"links":{},"metadata":{"_buckets":{"deposit":"0c5fd601-831a-4c62-b630-f091ab96a7ad"},"_deposit":{"created_by":5,"id":"5250","owner":"5","owners":[5],"pid":{"revision_id":0,"type":"depid","value":"5250"},"status":"published"},"_oai":{"id":"oai:miyazaki-u.repo.nii.ac.jp:00005250","sets":["73","73:36","73:36:330","73:36:330:327"]},"author_link":["11805","28447","12201","28450"],"item_10002_alternative_title_1":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"ヘイコウ ヘイキン タタミコ ミ ショリ ト ドロップ アウト ニ ヨ ル タタミコ ミ ニュー ラ ル ネットワーク ノ ハン カ ノウリョク コウジョウ","subitem_alternative_title_language":"ja-Kana"}]},"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"312","bibliographicPageStart":"309","bibliographicVolumeNumber":"46","bibliographic_titles":[{"bibliographic_title":"宮崎大学工学部紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Memoirs of Faculty of Engineering, University of Miyazaki","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Convolutional neural networks can express models very well, but this ability gives us overfitting problem. To avoid overfitting problem, dropout technique are proposed. However, it is sometimes not enough because convolutional neural networks include a huge number of weights and biases. In this paper, we propose a combination of dropout technique and parallel convolution. In our method, neural network has two parallel convolution layer, and average value of these two convolution layer is used as the input to the pooling layer. Our proposed neural network could improve generalization ability about 4% for the unknown test patterns.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宮崎大学工学部","subitem_publisher_language":"ja"},{"subitem_publisher":"Faculty of Engineering, University of Miyazaki","subitem_publisher_language":"en"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA00732558","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"05404924","subitem_source_identifier_type":"ISSN"}]},"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":"山森, 一人","creatorNameLang":"ja"},{"creatorName":"ヤマモリ, クニヒト","creatorNameLang":"ja-Kana"},{"creatorName":"Yamamori, Kunihito","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"長野, 泰久","creatorNameLang":"ja"},{"creatorName":"ナガノ, ヤスヒサ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"相川, 勝","creatorNameLang":"ja"},{"creatorName":"アイカワ, マサル","creatorNameLang":"ja-Kana"},{"creatorName":"Aikawa, Masaru","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nagano, Yasuhisa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-06-21"}],"displaytype":"detail","filename":"p309.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文","url":"https://miyazaki-u.repo.nii.ac.jp/record/5250/files/p309.pdf"},"version_id":"65218424-6c3b-477f-aba1-d3eff9589c29"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Convolutional neural network, Over fitting, Dropout, Parallel convolution layer","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":"平行平均畳み込み処理とドロップアウトによる畳み込みニューラルネットワークの汎化能力向上","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"平行平均畳み込み処理とドロップアウトによる畳み込みニューラルネットワークの汎化能力向上","subitem_title_language":"ja"},{"subitem_title":"Generalization Ability Improvement by Parallel Convolution and Dropout","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"5","path":["73","36","330","327"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-06-21"},"publish_date":"2020-06-21","publish_status":"0","recid":"5250","relation_version_is_last":true,"title":["平行平均畳み込み処理とドロップアウトによる畳み込みニューラルネットワークの汎化能力向上"],"weko_creator_id":"5","weko_shared_id":2},"updated":"2023-07-30T05:58:08.755053+00:00"}