Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods

Table 5

The results of the normalization methods.

Regression method	Normalization method	D112_fc dataset		D112_S dataset		D224_fc dataset		D224_S dataset
		RMSE	MAE	RMSE	MAE	RMSE	MAE	RMSE	MAE
3NN	Min-max	5.32	3.96	19.93	18.24	5.51	3.42	27.87	26.34
	Decimal	3.13	2.41	25.46	24.79	3.39	2.70	29.09	27.80
	Sigmoid	5.21	3.35	26.41	25.21	5.65	3.61	28.13	26.64
	Z-norm	5.22	3.62	25.84	24.68	5.60	3.50	28.22	26.69
5NN	Min-max	6.53	5.09	19.70	17.99	5.33	4.64	30.17	28.92
	Decimal	2.78	2.32	23.44	22.61	3.46	3.07	34.17	33.12
	Sigmoid	6.03	5.24	22.82	21.26	5.50	4.66	30.73	29.56
	Z-norm	6.01	5.22	22.81	21.16	5.66	4.87	30.34	29.22
7NN	Min-max	5.51	4.36	20.25	19.09	5.51	4.57	27.61	26.53
	Decimal	3.60	2.89	21.97	21.26	3.78	3.12	29.40	28.18
	Sigmoid	5.69	4.77	21.65	20.70	5.50	4.25	26.63	25.66
	Z-norm	5.63	4.72	21.63	20.67	5.46	4.20	26.63	25.64