PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK

• Material Type: 記事
• Title: PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK
• Title Transcription: PREDICTION OF LATERAL EFFECTIVE STRESSES IN SAND USING ARTIFICIAL NEURAL NETWORK
• Author/Editor: UNCUOGLU,ERDAL; LAMAN,MUSTAFA; SAGLAMER,AHMET; KARA,H. BEKIR
• Publication, Distribution, etc.: 日本 : Japanese Society of Soil Mechanics and Foundation Engineering
• Publication Date: 2008-04
• Publication Date (W3CDTF): 2008-04
• Periodical title: Soil and foundation
• No. or year of volume/issue: 48(2)
• Volume: 48(2)
• Pages: 141-153
• Text Language Code: ENG
• Subject Heading: artificial neural network; at rest pressure; backpropagation; computer application; laboratory test; relative density; sand
• Note (General): 著者所属: Department of Civil Engineering, University of Cukurova; 著者所属: Department of Civil Engineering, Istanbul Technical University; 著者所属: Department of Civil Engineering, University of Erciyes
• Persistent ID (NDL): info:ndljp/pid/10450401; https://dl.ndl.go.jp/pid/10450401
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > 学術機関 > 学協会; https://dl.ndl.go.jp/collections/B00043
• Acquisition Basis: NII-ELS
• Available (W3CDTF): 2017-08-23
• Date Accepted (W3CDTF): 2017-08-15
• Date Captured (W3CDTF): 2017-08-15
• Format (IMT): application/pdf
• Access Restrictions: インターネット公開
• Availability of remote photoduplication service: 不可
• Periodical Title (Persistent ID (NDL)): info:ndljp/pid/10388729; https://dl.ndl.go.jp/pid/10388729
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• Summary, etc.: Predicting the lateral effective stress and the coefficient of lateral earth pressure at rest values is an important task in geotechnical engineering ...