A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network

Table 1

Input and output parameters used in the predictive model.

Parameter	Category	Unit	Symbol	Minimum	Maximum	Average
Hole depth	Input	(m)	A	7.5	22	15.434
Burden to spacing	Input	—	B	0.410	0.913	0.763
Stemming length	Input	(m)	C	1.5	3.5	2.632
Maximum charge per delay	Input	(Kg)	D	74.8	234.3	159.6
Powder factor	Input	(Kg/m^3)	E	0.31	0.96	0.7
Rock density	Input	(g/cm^3)	F	2.15	2.86	2.574
Schmidt hammer rebound number	Input	—	G	15	44	32.611
Flyrock distance	Output	(m)	H	43.7	205.5	135.75