Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV

Computational Materials Science

Volumn 49, Issue 3, 2010, Pages 556-567

  Madandoust, R ^a   Ghavidel, R ^a   Nariman Zadeh, N ^a  

^a UNIVERSITY OF GUILAN   (Iran)

Author keywords

Compressive strength; Generalized GMDH type neural network; Genetic algorithm (GA); UPV

Indexed keywords

COMPRESSIVE STRENGTH OF CONCRETE; CONCRETE AGE; CONCRETE COMPRESSIVE STRENGTH; EVOLUTIONARY DESIGN; EXPERIMENTAL DATA; GENERALIZED GMDH-TYPE NEURAL NETWORK; GMDH-TYPE NEURAL NETWORKS; GROUP METHOD OF DATA HANDLING; IN-SITU; INPUT PARAMETER; MODEL OUTPUTS; NON DESTRUCTIVE; OPTIMAL DESIGN; OUTPUT VARIABLES; TRAINING AND TESTING; ULTRASONIC PULSE VELOCITY; WATER-CEMENT RATIO;

COMPRESSIVE STRENGTH; CONCRETE TESTING; DATA HANDLING; FORECASTING; GENETIC ALGORITHMS; LIGHT VELOCITY; SENSITIVITY ANALYSIS; ULTRASONICS;

NEURAL NETWORKS;

EID: 77955471698     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2010.05.050     Document Type: Article

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