APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS FOR PREDICTING THE COMPRESSIVE STRENGTH OF GREEN CONCRETES WITH RICE HUSK ASH

Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash

Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash

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To promote sustainable growth and minimize the greenhouse effect, rice husk fly ash can be used instead of a certain amount of cement.The research models the effects of using rice fly ash as a substitute for regular Portland cement Pharmaceutical Compounding in Veterinary Medicine: Suspension of Itraconazole on the compressive strength of concrete.In this study, different machine-learning techniques are investigated and a procedure to determine the optimal model is provided.A database of 909 analyzed samples forms the basis for creating forecast models.The derived models are assessed using the accuracy criteria RMSE, MAE, MAPE, and R.

The research shows that artificial intelligence techniques can be used to model the compressive strength of concrete with acceptable accuracy.It is also possible to evaluate the importance of specific input variables and Ectoparasites infesting animals living in close contact with human beings: a real trouble for One Health perspective? their influence on the strength of such concrete.

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