{"updated":"2025-01-21T05:26:14.004353+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00117243","sets":["6504:7962:7965"]},"path":["7965"],"owner":"1","recid":"117243","title":["エネルギー関数の動的な調節を用いたBoltzmannMachineによる組み合わせ最適化問題の解法"],"pubdate":{"attribute_name":"公開日","attribute_value":"1989-10-16"},"_buckets":{"deposit":"e0de94a6-ddcb-4652-bcc3-f7bf4ecbc184"},"_deposit":{"id":"117243","pid":{"type":"depid","value":"117243","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"エネルギー関数の動的な調節を用いたBoltzmannMachineによる組み合わせ最適化問題の解法","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"エネルギー関数の動的な調節を用いたBoltzmannMachineによる組み合わせ最適化問題の解法"},{"subitem_title":"Solution of Combinational Optimizing Problem using Boltzmann Machine with Dynamic Adjustment of Energy Function","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1989-10-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"武蔵工業大学"},{"subitem_text_value":"武蔵工業大学"},{"subitem_text_value":"武蔵工業大学"},{"subitem_text_value":"武蔵工業大学"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Musashi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Musashi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Musashi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Musashi Institute of Technology","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/117243/files/KJ00001335513.pdf"},"date":[{"dateType":"Available","dateValue":"1989-10-16"}],"format":"application/pdf","filename":"KJ00001335513.pdf","filesize":[{"value":"162.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e74073b4-fc74-46a5-bcd5-0ea662456f48","displaytype":"detail","licensetype":"license_note"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ニューラルネットワークの適用対象の1つに組み合わせ最適化問題が存在し,HopfieldのネットワークやBoltzman Machineのような相互結合型のネットワークが一般に用いられている.Boltzmann Machineは確率的に動作するため,焼きなましの手法等を用いることによりローカルミニマムを避けることが可能とされている.しかし,温度変化のスケジュールは経験的に選んでいるのが現状であり,このスケジューリングを誤ると精度の高い解が求められない,あるいは現実的な時間内での解決が不可能となる.本研究ではネットワークのエネルギー関数により適切なものを選択すれば,シビアな温度調節を回避できると考え,ネットワークの状態に応じてエネルギー関数をダイナミックに変更する手法を提案する.これを組み合わせ問題の1つである巡回セールスマン問題(TSP)に適用し,デジタルシミュレーションによって比較,検討を行う.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"409","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"408","bibliographicIssueDates":{"bibliographicIssueDate":"1989-10-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能および認知科学","bibliographicVolumeNumber":"第39回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:58:13.262486+00:00","id":117243,"links":{}}