{"created":"2024-10-09T10:25:45.092489+00:00","id":2001040,"links":{},"metadata":{"_buckets":{"deposit":"31e0b72d-52df-4a33-b5fb-4044e4bf4e8f"},"_deposit":{"created_by":7,"id":"2001040","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2001040"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02001040","sets":["1713829974766:1713854682253:1716422254859:1716424837521","1713853213384:1713853295607"]},"author_link":["88","82","289"],"control_number":"2001040","item_10001_alternative_title_1":{"attribute_name":"タイトル別表記","attribute_value_mlt":[{"subitem_alternative_title":"BP neural netrworks approach for identifying biological rhythm source in circadian data fluctuations","subitem_alternative_title_language":"en"}]},"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-12-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicPageEnd":"314","bibliographicPageStart":"304","bibliographicVolumeNumber":"59","bibliographic_titles":[{"bibliographic_title":"四国医学雑誌","bibliographic_titleLang":"ja"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Almost all land animals coordinate their behavior with circadian rhythms, matching their functions to the daily cycles of lightness and darkness that result from the rotation of the earth corresponding to 24 hours. Through external stimuli, such as dairy life activities or other sources from our environment may influence the internal rhythmicity of sleep and waking properties. However, the rhythms are regulated to keep their activity constant by homeostasis while fluctuating by incessant influences of external forces. A modeling study has been developed to identify homeostatic dynamics properties underlying a circadian rhythm activity of sleep and wake data measured from normal subjects, using an MA (Moving Average) model associated with backpropagation (BP) algorithm. As a result, we found out that the neural network can capture the regularity and irregularity components included in the data. The order of MA neural network model depends on subject’s behavior. The last two data are usually dominant in the case without strong external forces. The adaptive changes of the dynamics are evaluated by the change of weight vectors, a kind of internal representation of the trained network. The dynamics is kept in a steady state for more than 20 days. Identified properties reflect the subject’s behavior, and hence may be useful for medical diagnoses of disorders related to circadian rhythms.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"徳島医学会","subitem_publisher_language":"ja"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"00373699","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AN00102041","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open 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network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"moving average process","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"BPニューラルネットワークを用いたサーカディアンリズム源のシステム同定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"BPニューラルネットワークを用いたサーカディアンリズム源のシステム同定","subitem_title_language":"ja"},{"subitem_title":"BP ニューラル ネットワーク オ モチイタ サーカディアン リズムゲン ノ システム ドウテイ","subitem_title_language":"ja-Kana"}]},"item_type_id":"40001","owner":"7","path":["1713853295607","1716424837521"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2012-09-19"},"publish_date":"2012-09-19","publish_status":"0","recid":"2001040","relation_version_is_last":true,"title":["BPニューラルネットワークを用いたサーカディアンリズム源のシステム同定"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-02-13T07:23:54.238028+00:00"}