{"created":"2023-05-15T12:25:35.316794+00:00","id":889,"links":{},"metadata":{"_buckets":{"deposit":"8a670151-33ef-4369-87b3-1966654e8b77"},"_deposit":{"created_by":4,"id":"889","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"889"},"status":"published"},"_oai":{"id":"oai:kait.repo.nii.ac.jp:00000889","sets":["2:16:41:114"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-03-20","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"128","bibliographicPageStart":"121","bibliographicVolumeNumber":"24","bibliographic_titles":[{"bibliographic_title":"神奈川工科大学研究報告.B,理工学編"}]}]},"item_10002_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A problem, which is to approximate fuzzy concepts with words or sentences, has been studied by many researchers. For the problem, we consider simply that fuzzy concepts are representable fuzzy logic sentences each of which is constructed of logic atoms and logic connectives. And, a solution is given in the case of logic system called Kleene fuzzy logic. In this paper, the solution is realized on the neural network model from the point of view of learning. The fundamental logic operations are formed as some hierarchical subnets, and their learnings by error back propagation are performed. Finally, any fuzzy logic sentence can be constructed by using learned subnets, and the approximating problem is reduced as a learning problem of our neural network model.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.34411/00000882","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"神奈川工科大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10074179","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09161902","subitem_source_identifier_type":"PISSN"}]},"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":"巽, 久行","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"荒木, 智行","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"向殿, 政男","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"徳増, 眞司","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"Tasumi, Hisayuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Araki, Tomoyuki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Mukaidono, Masao","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tokumasu, Shinji","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2010-02-03"}],"displaytype":"detail","filename":"kkb-024-017.pdf","filesize":[{"value":"3.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kkb-024-017.pdf","objectType":"fulltext","url":"https://kait.repo.nii.ac.jp/record/889/files/kkb-024-017.pdf"},"version_id":"e9e0962f-1f31-4b0a-ad2a-50963b877080"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Approximate representation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Fuzzy logic sentence","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Kleene fuzzy logic","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Hierarchical neural network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Error back propergation","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":"Fuzzy論理文を用いて近似表現を行うニューラルネットワーク","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fuzzy論理文を用いて近似表現を行うニューラルネットワーク","subitem_title_language":"ja"},{"subitem_title":"A Neural Network to Reaiize an Approximate Representation by Using Fuzzy Logic Sentences","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["114"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-11-24"},"publish_date":"2020-11-24","publish_status":"0","recid":"889","relation_version_is_last":true,"title":["Fuzzy論理文を用いて近似表現を行うニューラルネットワーク"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-04T09:03:18.587679+00:00"}