{"created":"2023-06-20T12:57:53.263882+00:00","id":1929,"links":{},"metadata":{"_buckets":{"deposit":"675a83e5-ae3f-4092-97fc-d663720fdbba"},"_deposit":{"created_by":2,"id":"1929","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"1929"},"status":"published"},"_oai":{"id":"oai:fun.repo.nii.ac.jp:00001929","sets":["22:33","25:26:65"]},"author_link":["67","3678"],"item_9_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"2806","bibliographicPageStart":"2802","bibliographic_titles":[{"bibliographic_title":"Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC 2009)"}]}]},"item_9_description_3":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this research, we proposed a model of hierarchical three-layered perceptron, in which the middle layer contains a two dimensional map where the topological relationship of the high dimensional input data (external world) are internally representated. The proposed model executes a two-phase learning algorithm, such taht a supervised learning is proceded by a self-organization unsupervised learning. The objective of this study is to build a simple neural network model (which is more biologicaly realistic than the standard Multilayer Perceptron model), that can form an internal representation that supports its learning potential.","subitem_description_type":"Abstract"}]},"item_9_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_9_select_10":{"attribute_name":"単著共著","attribute_value_mlt":[{"subitem_select_item":"共著/joint"}]},"item_9_select_8":{"attribute_name":"査読有無","attribute_value_mlt":[{"subitem_select_item":"あり/yes"}]},"item_9_select_9":{"attribute_name":"研究業績種別","attribute_value_mlt":[{"subitem_select_item":"国際会議/International Conference"}]},"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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Hartono, Pitoyo","creatorNameLang":"en"}],"familyNames":[{"familyName":"Hartono","familyNameLang":"en"}],"givenNames":[{"givenName":"Pitoyo","givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"67","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"90339747","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=90339747"},{"nameIdentifier":"0000-0002-2807-6002","nameIdentifierScheme":"ORCIDID","nameIdentifierURI":"https://orcid.org/0000-0002-2807-6002"}]},{"creatorNames":[{"creatorName":"Trappenberg, Thomas"}],"nameIdentifiers":[{"nameIdentifier":"3678","nameIdentifierScheme":"WEKO"}]}]},"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":"Learning Initialized by Topologically Correct Map","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Learning Initialized by Topologically Correct Map"}]},"item_type_id":"9","owner":"2","path":["33","65"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-11-29"},"publish_date":"2010-11-29","publish_status":"0","recid":"1929","relation_version_is_last":true,"title":["Learning Initialized by Topologically Correct Map"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2025-02-07T04:29:36.124768+00:00"}