Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence

Table 3

Performance of the ANN model with different learning algorithms.

No.	Algorithm	Details	TRN	TES	VAL	EPC
1	Trainrp	Resilient backpropagation	70.8	42.5	25.3	6
2	Trainlm	Levenberg-Marquardt backpropagation	8.29	31.6	21.2	6
3	Traincgp	Conjugate gradient backpropagation with Polack–Ribiere updates	131	43.9	105	6
4	Traincgb	Conjugate gradient backpropagation with Power-Beale restarts	71.9	38.2	76.9	6
5	Trainbfg	BFGS quasi-Newton backpropagation	78.4	36.0	28.9	7
6	Trainoss	One-step secant backpropagation	93.6	88.0	36.9	6
7	Traincgf	Conjugate gradient backpropagation with Fletcher–Reeves updates	69.9	56.5	38.8	7
8	Traingda	Gradient descent with adaptive learning rate backpropagation	192	128	113	20