Genetic Algorithm for Prediction the Compressive Strength of Mortar Containing Wollastonite

In this paper, performance of genetic algorithm studied to predict compressive strength ofmortar containing wollastonite. For this porous, the results of experimental samples used tosimulate the model. Compressive strength applied as output of the neural network and threeparameters containing percentage of wollastonite, high-range water reducer dosage and also ageof mortar used as inputs. The results of the trained neural network with correlation factor 95%for the test data showed that the network with genetic algorithm is good tool for consideredprediction.

کلیدواژه ها:

Genetic algorithm ، Compressive strength prediction ، Wollastonite ،