Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS

Construction and Building Materials

Volumn 42, Issue , 2013, Pages 205-216

  Sadrmomtazi, A ^a   Sobhani, J ^b   Mirgozar, M A ^a  

^a UNIVERSITY OF GUILAN   (Iran)

^b Road Housing and Urban Development Research Center (BHRC)   (Iran)

Author keywords

ANFIS; Compressive strength; EPS concrete; Modeling; Neural network; Regression; Silica fume

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANFIS; ANFIS MODEL; ANN MODELS; CONSTITUENT MATERIALS; EXPANDED POLYSTYRENE; HIDDEN LAYERS; MODELING PROCESS; NEURAL NETWORKS (ANN); PARAMETRIC REGRESSION; PARTIAL REPLACEMENT; POLYNOMIAL REGRESSION MODELS; PREDICTION PERFORMANCE; PROPER MODELS; REGRESSION; SECOND ORDERS; STONE AGGREGATES;

COMPRESSIVE STRENGTH; CONCRETES; FORECASTING; MODELS; NEURAL NETWORKS; POLYSTYRENES; REGRESSION ANALYSIS; SILICA FUME;

CONCRETE AGGREGATES;

EID: 84874725915     PISSN: 09500618     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conbuildmat.2013.01.016     Document Type: Article

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