Groutability prediction of microfine cement based soil improvement using evolutionary LS-SVM inference model

Journal of Civil Engineering and Management

Volumn 20, Issue 6, 2014, Pages 839-848

  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; differential evolution; groutability prediction; least squares support vector machine; machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CEMENTS; CLUSTERING ALGORITHMS; CONCRETE CONSTRUCTION; EVOLUTIONARY ALGORITHMS; GROUTING; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MORTAR; OPTIMIZATION; SOIL CEMENT; SOILS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

BETTER PERFORMANCE; CONSTRUCTION ENGINEERING; DIFFERENTIAL EVOLUTION; FORECASTING ACCURACY; HIGH DIMENSIONAL DATA; LEAST SQUARES SUPPORT VECTOR MACHINES; PERMEATION GROUTING; SUPERVISED MACHINE LEARNING;

FORECASTING;

EID: 84923092979     PISSN: 13923730     EISSN: 18223605     Source Type: Journal    
DOI: 10.3846/13923730.2013.802717     Document Type: Article

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