High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 4, 2013, Pages 1246-1254

  Erdal, Halil Ibrahim ^a   Karakurt, Onur ^b   Namli, Ersin ^c  

^a Turkish Cooperation and Coordination Agency (TIKA)   (Turkey)

^b GAZI UNIVERSITY   (Turkey)

^c ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Bagging (bootstrap aggregation); Discrete wavelet transform; Ensemble models; Gradient boosting; High performance concrete strength

Indexed keywords

BAGGING (BOOTSTRAP AGGREGATION); COEFFICIENT OF DETERMINATION; CONCRETE COMPRESSIVE STRENGTH; ENSEMBLE MODELS; GRADIENT BOOSTING; MEAN ABSOLUTE ERROR; PREDICTION ACCURACY; ROOT MEAN SQUARED ERRORS;

COMPRESSIVE STRENGTH; FORECASTING; HIGH PERFORMANCE CONCRETE; NEURAL NETWORKS; STATISTICAL METHODS;

DISCRETE WAVELET TRANSFORMS;

EID: 84875220787     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.10.014     Document Type: Article

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