Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network

Scientia Iranica

Volumn 19, Issue 2, 2012, Pages 242-248

  Amani, J ^a,b   Moeini, R ^a,b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b Allaodoleh Semnani Institute of Higher Education (ASIHE)   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; American concrete institute code; Artificial neural network; Iranian concrete institute code; Reinforced concrete beam; Shear strength

Indexed keywords

BACKPROPAGATION ALGORITHMS; CODES (SYMBOLS); COMPRESSIVE STRENGTH; CONCRETE BEAMS AND GIRDERS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; REINFORCED CONCRETE; SHEAR STRENGTH;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AMERICAN CONCRETE INSTITUTE; AMERICAN CONCRETE INSTITUTE CODES; CONCRETE COMPRESSIVE STRENGTH; IRANIAN CONCRETE INSTITUTE CODES; LONGITUDINAL REINFORCEMENT; REINFORCED CONCRETE BEAMS; SHEAR SPAN-TO-DEPTH RATIOS;

FUZZY INFERENCE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPRESSIVE STRENGTH; CONCRETE; FUZZY MATHEMATICS; REINFORCED CONCRETE; REINFORCEMENT; SHEAR STRENGTH;

EID: 84859918447     PISSN: 10263098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scient.2012.02.009     Document Type: Article

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