Prediction of the mechanical behavior of the Oporto granite using Data Mining techniques

Expert Systems with Applications

Volumn 39, Issue 10, 2012, Pages 8778-8783

  Martins, Francisco F ^a   Begonha, Arlindo ^b   Amalia Sequeira Braga M ^c  

^a UNIVERSITY OF MINHO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF MINHO   (Portugal)

Author keywords

Artificial neural networks; DM techniques; Granite; Mechanical properties; Support vector machines; Weathering

Indexed keywords

BULK DENSITY; CORRELATION ANALYSIS; DATA MINING TECHNIQUES; DEFORMATION MODULUS; DM TECHNIQUES; ENGINEERING PROBLEMS; GRANITIC ROCKS; INPUT PARAMETER; MECHANICAL BEHAVIOR; MULTIPLE REGRESSIONS; PHYSICAL AND MECHANICAL PROPERTIES; PORTUGAL; ROCK SAMPLE; SUPPORT VECTOR MACHINE (SVM); SVM MODEL; UNIAXIAL COMPRESSIVE STRENGTH;

COMPRESSIVE STRENGTH; DATA MINING; FORECASTING; MECHANICAL PROPERTIES; MICA; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TUNNELING (EXCAVATION); WEATHERING;

GRANITE;

EID: 84859209620     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.003     Document Type: Article

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