Derivation of hedging rules and forecasts by artificial neural networks for optimal real-time management of an integrated water resources system

• Material Type: 博士論文
• Title: Derivation of hedging rules and forecasts by artificial neural networks for optimal real-time management of an integrated water resources system
• Author/Editor: Camilo Allyson Simoes de Farias [著]
• Author Heading: Farias Camilo ファリアス カミーロ
• Publication, Distribution, etc.: [Camilo Allyson Simoes de Farias]
• Publication Date: [2009]
• Publication Date (W3CDTF): 2009
• Extent: 1冊
• Degree grantor/type: 愛媛大学
• Date Granted: 平成21年3月24日
• Date Granted (W3CDTF): 2009
• Dissertation Number: 甲理工博第275号
• Degree Type: 博士 (工学)
• Note (Dissertation): 博士論文
• Place of Publication (Country Code): JP
• Text Language Code: eng
• Alias of Author: Camilo Allyson Simoes de Farias
• NDLC: UT51
• Note (General): 博士論文
• Holding library: 国立国会図書館
• Call No.: UT51-2009-P526
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 000010692503; http://id.ndl.go.jp/bib/000010692503
• Bibliographic Record Category (NDL): 213