Groutability estimation of grouting processes with microfine cements using an evolutionary instance-based learning approach

Journal of Computing in Civil Engineering

Volumn 28, Issue 4, 2014, Pages

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

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

^b NATIONAL UNIVERSITY OF CIVIL ENGINEERING   (Viet Nam)

Author keywords

Differential evolution; Fuzzy logic; Groutability estimation; Instance based learning; k nearest neighbor algorithm

Indexed keywords

CEMENTS; CONCRETE CONSTRUCTION; CONSTRUCTION INDUSTRY; EVOLUTIONARY ALGORITHMS; FUZZY INFERENCE; FUZZY LOGIC; GROUTING; MATHEMATICAL MODELS; MORTAR; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION;

ARTIFICIAL NEURAL NETWORK ALGORITHM; CONSTRUCTION ENGINEERS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION OPTIMIZATION APPROACHES; FUZZY K NEAREST NEIGHBOR (FKNN); INSTANCE BASED LEARNING; INTEGRATED FRAMEWORKS; K NEAREST NEIGHBOR ALGORITHM;

MEMBERSHIP FUNCTIONS;

EID: 84902436390     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000370     Document Type: Article

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