Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks

Advances in Engineering Software

Volumn 42, Issue 10, 2011, Pages 780-786

  Siddique, Rafat ^a   Aggarwal, Paratibha ^b   Aggarwal, Yogesh ^b  

^a THAPAR UNIVERSITY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Bottom ash; Importance factor; Neural network; Prediction; Self compacting concrete; Strength

Indexed keywords

AGGREGATES; ASH HANDLING; ASHES; CEMENTS; COMPRESSIVE STRENGTH; CONCRETE AGGREGATES; FLY ASH; FORECASTING;

BOTTOM ASH; COARSE AGGREGATES; EXPERIMENTAL DATA; FINE AGGREGATES; IMPORTANCE FACTORS; INPUT PARAMETER; LITERATURE DATA; NEURAL NETWORK TECHNIQUES; OUTPUT PARAMETERS; PARTIAL REPLACEMENT; SELF COMPACTING CONCRETE; STRENGTH; SUPERPLASTICIZERS;

NEURAL NETWORKS;

EID: 79960839561     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2011.05.016     Document Type: Article

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