{"created":"2023-06-19T09:50:59.778080+00:00","id":7967,"links":{},"metadata":{"_buckets":{"deposit":"9ea992a9-5630-4e3c-a848-8d5c16a81487"},"_deposit":{"created_by":3,"id":"7967","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7967"},"status":"published"},"_oai":{"id":"oai:fukuyama-u.repo.nii.ac.jp:00007967","sets":["502:505:675:698:700"]},"author_link":["42812","42813","42811"],"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1996-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"44","bibliographicPageStart":"37","bibliographicVolumeNumber":"19","bibliographic_titles":[{"bibliographic_title":"福山大学工学部紀要"}]}]},"item_1_creator_6":{"attribute_name":"著者名(日)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡辺, 栄治"}],"nameIdentifiers":[{"nameIdentifier":"42811","nameIdentifierScheme":"WEKO"}]}]},"item_1_description_1":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P(論文)","subitem_description_type":"Other"}]},"item_1_description_12":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper discusses the relation between internal representations and generalization ability of multi-layered neural networks for function approximation problems. Here, the over learning problem, which makes the generalization ability poor, is divided into the two problems; the excessive degrees of freedom and the non-uniqueness of weights. These problems are carefully discussed from the viewpoint of internal representation; weights and outputs of hidden units. First, the excessive degrees of freedom problem is discussed by introducing the entropy for weights. Next, the non-uniqueness of weights problem is also discussed by introducing the principal components analysis method. Finally, the relations between internal representations and generalization ability of multi-layered neural networks are concretely discussed by numerical results.","subitem_description_type":"Other"}]},"item_1_full_name_7":{"attribute_name":"著者名よみ","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"42812","nameIdentifierScheme":"WEKO"}],"names":[{"name":"ワタナベ, エイジ"}]}]},"item_1_full_name_8":{"attribute_name":"著者名(英)","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"42813","nameIdentifierScheme":"WEKO"}],"names":[{"name":"WATANABE, Eiji","nameLang":"en"}]}]},"item_1_source_id_13":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AN00217655","subitem_source_identifier_type":"NCID"}]},"item_1_text_9":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_value":"福山大学工学部情報処理工学科"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"1996-03-01"}],"displaytype":"detail","filename":"KJ00005781366.pdf","filesize":[{"value":"606.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://fukuyama-u.repo.nii.ac.jp/record/7967/files/KJ00005781366.pdf"},"version_id":"6c5df41b-b814-4eae-a6ec-4a7466960cd7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"階層型ニューラルネットワーク","subitem_subject_scheme":"Other"},{"subitem_subject":"関数近似問題","subitem_subject_scheme":"Other"},{"subitem_subject":"内部表現","subitem_subject_scheme":"Other"},{"subitem_subject":"汎化能力","subitem_subject_scheme":"Other"},{"subitem_subject":"過剰学習","subitem_subject_scheme":"Other"},{"subitem_subject":"Multi-layered neural network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"function approximation problem","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"internal representation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"generalization ability","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"over learning","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":"関数近似問題に対する階層型ニューラルネットワークの内部表現と汎化能力の関係","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"関数近似問題に対する階層型ニューラルネットワークの内部表現と汎化能力の関係"},{"subitem_title":"Relations between Internal Representations and Generalization Ability of Multi Layered Neural Networks for Function Approximation Problems","subitem_title_language":"en"}]},"item_type_id":"1","owner":"3","path":["700"],"pubdate":{"attribute_name":"公開日","attribute_value":"1996-03-01"},"publish_date":"1996-03-01","publish_status":"0","recid":"7967","relation_version_is_last":true,"title":["関数近似問題に対する階層型ニューラルネットワークの内部表現と汎化能力の関係"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-06-19T10:32:59.518941+00:00"}