An assessment of total RMR classification system using unified simulation model based on artificial neural networks

Neural Computing and Applications

Volumn 20, Issue 4, 2011, Pages 603-610

  Mert, Ertan ^a   Yilmaz, Serhat ^a   Inal, Melih ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

ANN; Classification; RMR; Rock Mechanics; USM

Indexed keywords

ANN; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLASSIFICATION RESULTS; CLASSIFICATION SYSTEM; CONVENTIONAL METHODS; EASE OF USE; ENGINEERING APPLICATIONS; ENGINEERING DESIGN; ENGINEERING STRUCTURES; INTACT ROCKS; INTERVAL-VALUED; LINGUISTIC EXPRESSIONS; RMR; ROCK MASS; ROCK MASS RATING; ROCK QUALITY DESIGNATION; SIMULATION MODEL; THREE PARAMETERS; UNIAXIAL COMPRESSIVE STRENGTH; UNIFIED SIMULATION MODELS; USM;

CLASSIFICATION (OF INFORMATION); COMPRESSIVE STRENGTH; GROUNDWATER; LINGUISTICS; NEURAL NETWORKS; RATING; ROCK MECHANICS; ROCKS;

COMPUTER SIMULATION;

EID: 79955819312     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0578-6     Document Type: Article

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