Prediction of the Coefficient of Pressure Fluctuations during the Hydraulic Jump Using ELM, GMDH, and M5MT

Table 1

The main statistical parameters of training and testing data set for developing the proposed soft computing methods.

Dataset	Variables	Parameter	Min	Max	Avg	St. dev.
Training	Input		4.944	8.662	6.712	1.473
			0.750	31.875	11.993	7.761
			6.750	11.111	8.992	1.721
			10	20	20.333	8.670
	Output		0.027	0.096	0.056	0.017
Testing	Input		4.944	8.662	6.325	1.357
			0.750	28.333	12.550	8.731
			6.750	11.111	8.509	1.613
			10	30	18.636	8.888
	Output		0.028	0.090	0.057	0.018

The variables of , , , and are considered as input variables of soft computing methods for the prediction of .