Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network

Table 4

Performance analysis of FNN, RF, and GPR algorithms.

	FNN	RF	GPR
Training dataset
R	0.9861	0.9654	0.9301
RMSE	2.1501	3.6900	4.6411
MAE	1.5650	2.7728	3.1891
Testing dataset
R	0.9792	0.9006	0.9343
RMSE	2.8510	6.2663	4.9469
MAE	2.1361	5.0560	3.7502