Prediction of concrete compressive strength by evolutionary artificial neural networks

Advances in Materials Science and Engineering

Volumn 2015, Issue , 2015, Pages

  Nikoo, Mehdi ^a   Torabian Moghadam, Farshid ^b   Sadowski, Łukasz ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CEMENTS; CONCRETES; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; LINEAR REGRESSION; NEURAL NETWORKS; SAND; STRENGTH OF MATERIALS;

COMPRESSIVE STRENGTH OF CONCRETE; CONCRETE COMPRESSIVE STRENGTH; CONSTRUCTING MODELS; CYLINDRICAL CONCRETE; EVOLUTIONARY ARTIFICIAL NEURAL NETWORKS; EVOLUTIONARY SEARCH; MULTIPLE LINEAR REGRESSION MODELS; WATER-CEMENT RATIO;

COMPRESSIVE STRENGTH;

EID: 84925400441     PISSN: 16878434     EISSN: 16878442     Source Type: Journal    
DOI: 10.1155/2015/849126     Document Type: Article

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