Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan

Journal of Computing in Civil Engineering

Volumn 30, Issue 1, 2016, Pages

  Cheng, Min Yuan ^a   Hoang, Nhat Duc ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b DUY TAN UNIVERSITY   (Viet Nam)

Author keywords

Artificial intelligence; Bayesian framework; K nearest neighbor; Probabilistic classification; Slope collapse prediction

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DISASTER PREVENTION; FORECASTING; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PROBABILITY DENSITY FUNCTION;

BAYESIAN FRAMEWORKS; CONDITIONAL PROBABILITY DENSITY; K NEAREST NEIGHBOR DENSITY ESTIMATION; K-NEAREST NEIGHBORS; MAN-MADE STRUCTURES; NONPARAMETRIC APPROACHES; PROBABILISTIC CLASSIFICATION; SLOPE COLLAPSE;

SLOPE STABILITY;

EID: 84952334259     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000456     Document Type: Article

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