Determination of compressive strength of concrete using Self Organization Feature Map (SOFM)

Engineering with Computers

Volumn 31, Issue 1, 2015, Pages 113-121

  Nikoo, Mehdi ^a   Zarfam, Panam ^b   Sayahpour, Hassan ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Compressive strength of concrete; Kohonen; Self Organization Feature Map; Statistical model

Indexed keywords

COMPRESSIVE STRENGTH; CONCRETES; CONFORMAL MAPPING; GENETIC ALGORITHMS; NEURAL NETWORKS;

COMPETITIVE LEARNING; COMPRESSIVE STRENGTH OF CONCRETE; CONCRETE COMPRESSIVE STRENGTH; CONCRETE PROPERTIES; KOHONEN; NON-LINEAR RELATIONSHIPS; SELF ORGANIZATION FEATURE MAPS; STATISTICAL MODELING;

SELF ORGANIZING MAPS;

EID: 84920708030     PISSN: 01770667     EISSN: 14355663     Source Type: Journal    
DOI: 10.1007/s00366-013-0334-x     Document Type: Article

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