{"created":"2023-07-27T06:26:13.673539+00:00","id":9857,"links":{},"metadata":{"_buckets":{"deposit":"85f7dc1a-74ce-476d-ae64-d4aa7c13f086"},"_deposit":{"created_by":3,"id":"9857","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9857"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00009857","sets":["934:935:936"]},"author_link":["14464","14463","187","14462"],"item_8_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-01-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"1395","bibliographicPageStart":"1390","bibliographicVolumeNumber":"2008","bibliographic_titles":[{"bibliographic_title":"Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics"}]}]},"item_8_description_21":{"attribute_name":"抄録","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-Neural- Network (PUNN) and infer the S-system model of genetic networks which describes a set of 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. © 2008 IEEE.","subitem_description_type":"Abstract"}]},"item_8_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE = Institute of Electrical and Electronics Engineers"}]},"item_8_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/ICSMC.2008.4811480","subitem_relation_type_select":"DOI"}}]},"item_8_relation_27":{"attribute_name":"シリーズ","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"4811480"}]}]},"item_8_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1062-922X","subitem_source_identifier_type":"ISSN"}]},"item_8_version_type_25":{"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":"Murata, Hiroaki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koshino, Makoto"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mitamura, Masatomo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kimura, Haruhiko"}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-03"}],"displaytype":"detail","filename":"TE-PR-MURATA-H-1390.pdf","filesize":[{"value":"164.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-MURATA-H-1390.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/9857/files/TE-PR-MURATA-H-1390.pdf"},"version_id":"865df1fe-e424-4a7e-99b2-9b66123ba81f"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Inference of S-system models of genetic networks using product unit neural networks","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Inference of S-system models of genetic networks using product unit neural networks"}]},"item_type_id":"8","owner":"3","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-03"},"publish_date":"2017-10-03","publish_status":"0","recid":"9857","relation_version_is_last":true,"title":["Inference of S-system models of genetic networks using product unit neural networks"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-07-28T01:47:58.104549+00:00"}