{"product_id":"ieej-btc205ss010002","title":"Study on optimization of hyperparameters in higher-order Granger reservoir computing for structural inference","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ：\u003c\/strong\u003e部門大会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No：\u003c\/strong\u003eSS1-2\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名：\u003c\/strong\u003e【C】2025年電気学会電子・情報・システム部門大会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日：\u003c\/strong\u003e2025\/8\/20\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語)：\u003c\/strong\u003eStudy on optimization of hyperparameters in higher-order Granger reservoir computing for structural inference\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名：\u003c\/strong\u003e大槻 怜央（東京大学）,李 彬（東京大学）,杉野 正和（東京大学）,榛葉 健太（東京大学）,小谷 潔（東京大学）\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語)： \u003c\/strong\u003eReo Otsuki (The University of Tokyo),Bin Li (The University of Tokyo),Masato Sugino (The University of Tokyo),Kenta Shimba (The University of Tokyo),Kiyoshi Kotani (The University of Tokyo)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード：\u003c\/strong\u003eリザバー計算,力学系,因果推論,システム同定,reservoir computing,dynamical system,causal inference,system identification\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語)：\u003c\/strong\u003ePhysiological and neural systems interact dynamically, giving rise to diverse states and functions. Their nonlinear, collective and emergent behaviors make it challenging to discover the underlying interactions. Recently, higher-order Granger reservoir computing (HoGRC) has been developed to simultaneously infer connectivity structure and predict the future time series. However, previous studies have not evaluated how the accuracy of structural depends on hyperparameters of HoGRC. To address this gap, we assess the effectiveness of HoGRC with a coupled chaotic system.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ：\u003c\/strong\u003e1767-1769p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別：\u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ：\u003c\/strong\u003e387Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格440円\/会員価格220円） \/ A4 \/ 2","offer_id":47942183747823,"sku":"IEEJ-BTC205SS010002-PDF","price":440.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_bumontaikai_0066a928-e816-4138-a290-1d135541d310.png?v=1773064597","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-btc205ss010002","provider":"電気学会 電子図書館","version":"1.0","type":"link"}