Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM

Engineering Applications of Artificial Intelligence

Volumn 24, Issue 4, 2011, Pages 658-665

  Leu, Sou Sen ^a   Adi, Tri Joko Wahyu ^a  

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

Author keywords

Geologic prediction; Hidden Markov Model; Neural network; Particle Filter; Tunneling

Indexed keywords

APPROXIMATE INFERENCE; DESIGN AND CONSTRUCTION; DRAINAGE WATER; GENERAL MODEL; GEOLOGIC INFORMATION; GEOLOGIC PREDICTION; GEOLOGICAL PARAMETERS; GROUND CONDITIONS; HMM MODELS; PARTICLE FILTER; PRIMARY SOURCES; PROBABILISTIC DESCRIPTIONS; PROBABILISTIC PREDICTION; TUNNEL GEOLOGY; TUNNELING; UNDERGROUND TUNNELS;

DECISION SUPPORT SYSTEMS; DECISION THEORY; DRAINAGE; FORECASTING; GEOLOGIC MODELS; HIDDEN MARKOV MODELS; INFERENCE ENGINES; NONLINEAR FILTERING; WASTEWATER DISPOSAL;

NEURAL NETWORKS;

EID: 79953662678     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2011.02.010     Document Type: Article

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