... network ( ANN ) and random forest regression ( RFR ) models were developed using 70% of the data set for training and 30% for testing. Both models achieved high prediction accuracy with coefficient of determination (R²) values greater than 0.90. The ANN model outperformed the RFR...

... environment is analysed using an ultrasonic pulse velocity test. In addition, the authors develop two deep learning models: an artificial neural network ( ANN ) and an adaptive neuro-fuzzy inference system ( ANFIS ) to predict the compressive strength of the mortar with copper slag. The experimental results...