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Volumn 29, Issue 10, 2008, Pages 2764-2768
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Support vector machine model for predicting sand liquefaction based on clustering binary tree algorithm
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Author keywords
Binary tree; Clustering; Prediction model; Sand liquefaction; Statistical learning theory; Support vector machine (AVM)
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Indexed keywords
BINARY TREES;
CLUSTERING ALGORITHMS;
DATA STRUCTURES;
FILE ORGANIZATION;
FLOW OF SOLIDS;
FORECASTING;
GEARS;
IMAGE RETRIEVAL;
LEARNING SYSTEMS;
LIQUEFACTION;
MULTILAYER NEURAL NETWORKS;
OPTIMIZATION;
SAND;
SLOPE STABILITY;
TREES (MATHEMATICS);
VECTORS;
CLUSTERING;
PREDICTION MODEL;
SAND LIQUEFACTION;
STATISTICAL LEARNING THEORY;
SUPPORT VECTOR MACHINE (AVM);
SUPPORT VECTOR MACHINES;
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EID: 55149115126
PISSN: 10007598
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (7)
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References (8)
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