{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00017055","sets":["934:989:990:991"]},"path":["991"],"owner":"1","recid":"17055","title":["Product unit based neural networksを用いた遺伝子ネットワークのS-systemモデル推定手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-09-26"},"_buckets":{"deposit":"63ee8711-aa60-4e32-ac9c-4d55d3a3cc4a"},"_deposit":{"id":"17055","pid":{"type":"depid","value":"17055","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Product unit based neural networksを用いた遺伝子ネットワークのS-systemモデル推定手法の提案","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Product unit based neural networksを用いた遺伝子ネットワークのS-systemモデル推定手法の提案"},{"subitem_title":"Inference of S-system Models of the Genetic Networks Using the Product-unit-based-neural-networks","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"オリジナル論文","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2008-09-26","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"金沢大学"},{"subitem_text_value":"石川工業高等専門学校"},{"subitem_text_value":"金沢大学"},{"subitem_text_value":"金沢大学"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kanazawa University","subitem_text_language":"en"},{"subitem_text_value":"Ishikawa National College of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kanazawa University","subitem_text_language":"en"},{"subitem_text_value":"Kanazawa University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/17055/files/IPSJ-TOM0101008.pdf"},"date":[{"dateType":"Available","dateValue":"2010-09-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TOM0101008.pdf","filesize":[{"value":"720.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"077d52c8-7cd9-48f8-a918-cb5132165458","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村田, 裕章"},{"creatorName":"越野, 亮"},{"creatorName":"三田村, 公智"},{"creatorName":"木村, 春彦"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroaki, Murata","creatorNameLang":"en"},{"creatorName":"Makoto, Koshino","creatorNameLang":"en"},{"creatorName":"Masatomo, Mitamura","creatorNameLang":"en"},{"creatorName":"Haruhiko, Kimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11464803","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7780","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究ではニューラルネットワークの一種であるProduct Unit based Neural Network（PUNN）を用いて，遺伝子間の制御関係を表現する遺伝子ネットワークを推定する手法を提案する．提案手法では微分方程式を解くのではなく，PUNNを学習させることで，微分方程式で記述されるS-systemモデルの遺伝子ネットワークの推定を行う．評価実験の結果，S-systemモデルの遺伝子ネットワークを推定する従来手法に比べ，同程度の性能を保持しつつも，約160倍の高速化を実現できたことを示す．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we proposed the method of inference of genetic networks which expresses the regulation of genes. The proposed method does not solve the differential equations, learns the genetic networks using Product-Unit-based-Neural-Network (PUNN) and estimates the S-system model of genetic networks which describes the differential equations. The experimental results show the proposal method is 160 times faster than the previous method which estimated S-system model of genetic networks while maintaining equivalent performance to the previous method.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"87","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌数理モデル化と応用（TOM）"}],"bibliographicPageStart":"74","bibliographicIssueDates":{"bibliographicIssueDate":"2008-09-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"1"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"updated":"2025-01-22T23:33:19.621384+00:00","created":"2025-01-18T22:50:09.395109+00:00","id":17055}