{"created":"2023-05-15T11:56:24.019372+00:00","id":1634,"links":{},"metadata":{"_buckets":{"deposit":"e3288138-5555-4f54-8971-8e3392e38534"},"_deposit":{"created_by":3,"id":"1634","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"1634"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00001634","sets":["8:9"]},"author_link":["5343","6608","6609","6610"],"control_number":"1634","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"34","bibliographicPageStart":"27","bibliographicVolumeNumber":"13","bibliographic_titles":[{"bibliographic_title":"International Journal of Biomedical Soft Computing and Human Sciences"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We propose a new associative memory to improve its noise tolerance and storage capacity. Our underlying model is an improved multidirectional associative memory (IMAM), which uses autoassociative bottleneck neural networks to remove noise in its input, i.e., analyze patterns. IMAM has inefficient storage capacity and low noise tolerance due to a correlation matrix representing association. One of our basic ideas is to replace a correlation matrix with a multilayer perceptron (MLP), which has better learning and generalization capability. Moreover, we introduce two improvements. One is to add intermediate elements into MLP to improve its performance. The other is to use outputs of hidden layers in a five-layer bottleneck neural network. These outputs include information on synthesis of a key pattern from compressed information in the middle layer. To evaluate the proposed approaches, we compared three types of associative memory: associative memory with a bottleneck neural network and MLP (AM/B-M), AM/B-M with intermediate elements (AM/B-I), and AM/B-I with synthetic outputs (AM/B-IS). 10-by-10 images of Latin alphabet are used as patterns for association. In a case of association between 78 non-injective pattern pairs with 10% noise, our proposed AM/B-IS is better than AM/B-M by more than 40% in pattern recalling ratio.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"6610","nameIdentifierScheme":"WEKO"}],"names":[{"name":"横井, 博一","nameLang":"ja"}]}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"バイオメディカル・ファジィ・システム学会"}]},"item_21_relation_66":{"attribute_name":"論文ID（NAID）","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"110006991259","subitem_relation_type_select":"NAID"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright©1995 Biomedical Fuzzy Systems Association. 本文データは学協会の許諾に基づきCiNiiから複製したものである"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1345-1529","subitem_source_identifier_type":"PISSN"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Tohoku University"},{"subitem_text_value":"Kyushu Institute of Technology"}]},"item_21_text_64":{"attribute_name":"業績ID","attribute_value_mlt":[{"subitem_text_value":"6E92DB0348374B3B4925762B001D34B5"}]},"item_21_version_type_58":{"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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Inohira, Eiichi","creatorNameLang":"en"},{"creatorName":"猪平, 栄一","creatorNameLang":"ja"},{"creatorName":"イノヒラ, エイイチ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"Ogawa, Takeshi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yokoi, Hirokazu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2009-09-09"}],"displaytype":"detail","filename":"Associative memory.pdf","filesize":[{"value":"842.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Associative memory.pdf","url":"https://kyutech.repo.nii.ac.jp/record/1634/files/Associative memory.pdf"},"version_id":"cf16abac-8783-4574-b242-7d69e0413b03"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Associative memory","subitem_subject_scheme":"Other"},{"subitem_subject":"bottleneck neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"multilayer perceptron","subitem_subject_scheme":"Other"},{"subitem_subject":"intermediate element","subitem_subject_scheme":"Other"},{"subitem_subject":"noise tolerance","subitem_subject_scheme":"Other"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Associative Memory with Pattern Analysis and Synthesis by a Bottleneck Neural Network","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Associative Memory with Pattern Analysis and Synthesis by a Bottleneck Neural Network","subitem_title_language":"en"}]},"item_type_id":"21","owner":"3","path":["9"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2009-09-09"},"publish_date":"2009-09-09","publish_status":"0","recid":"1634","relation_version_is_last":true,"title":["Associative Memory with Pattern Analysis and Synthesis by a Bottleneck Neural Network"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-04-02T08:41:13.666734+00:00"}