Feasibility of Artificial Neural Network Model Application for Evaluation of Undrained Shear Strength from Piezocone Measurements |
김영상 (국립 여수대학교 해양시스템공학) |
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Profiling stress history of clays using piezocone with dual pore pressure measurements
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Interpreting neural-network connection weights
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Seismic liquefaction potential assessed by neural-networks
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ScienceOn |
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Multilayer feed-forward networks are universial approximators
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ScienceOn |
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피에조콘을 이용한 연약지반 선행압밀하중 결정의 인공신경망 이론 적용 연구
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과학기술학회마을 |
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Cam Clay predictions of undrained strength
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Artificial Intelligence Applications in Geotechnical Engineering
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Piezocone Evaluation of Undrained Shear Strength in Clays
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국내 점성토 지반의 피에조콘 계수
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과학기술학회마을 |
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Neural networks for profilng stress history of clays from PCPT data
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ScienceOn |
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Direct Correlations between Piezocone Test Results and Undrained Shear Strength of Clay
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피에조콘을 이용한 국내지반의 공학적 특성 연구
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Undrained Strength from piezocone tests
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ScienceOn |