{"created":"2023-05-15T14:56:51.256696+00:00","id":77160,"links":{},"metadata":{"_buckets":{"deposit":"fdec8142-982f-4c4a-934d-ed3e47055102"},"_deposit":{"created_by":1,"id":"77160","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"77160"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00077160","sets":["10:29"]},"author_link":["797849","797853","797851","797850","797852","797848"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2019-10-16","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"人工ニューラルネットワーク(ANN)法や重回帰分析法を用いて、放射線グラフト電解質膜のプロトン導電率と含水率を予測した。説明変数となる基材高分子の物性値は、文献引用、実測定、量子化学計算、によって収集した。導電率、含水率ともに、高い精度で予測可能なANNモデルを構築できた。基材高分子の誘電率や分極モーメントといった物性値が導電率や含水率に影響を及ぼすことが示唆された。","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"第9回CSJ化学フェスタ","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"澤田, 真一"}],"nameIdentifiers":[{"nameIdentifier":"797848","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"田中, 健一"}],"nameIdentifiers":[{"nameIdentifier":"797849","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"船津, 公人"}],"nameIdentifiers":[{"nameIdentifier":"797850","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"前川, 康成"}],"nameIdentifiers":[{"nameIdentifier":"797851","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Sawada, Shinichi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"797852","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maekawa, Yasunari","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"797853","nameIdentifierScheme":"WEKO"}]}]},"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":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"高分子電解質膜のイオン伝導性を機械学習で予測する","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"高分子電解質膜のイオン伝導性を機械学習で予測する"}]},"item_type_id":"10005","owner":"1","path":["29"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-10-17"},"publish_date":"2019-10-17","publish_status":"0","recid":"77160","relation_version_is_last":true,"title":["高分子電解質膜のイオン伝導性を機械学習で予測する"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T23:52:33.296095+00:00"}