Review on the Development of Mining Method Selection to Identify New Techniques Using a Cascade-Forward Backpropagation Neural Network

Table 5

Weights of the various parameter assignments based on the mining methods.

Parameter/mining methods			Open pit	Block caving	Sublevel stoping	Sublevel caving	Longwall	Room and pillar	Shrinkage stoping	Cut and fill stoping	Top slicing	Square set stoping
1	General shape		0.8	0.8	0.6	0.6	0	0	0	0.2	0.2	0
2	Ore thickness, m		0.8	0.8	0.6	0.8	0	0	0	0	0.2	0
3	Grade distribution		0.6	0.6	0.8	0.6	0.8	0.8	0.6	0.4	0.4	0
4	Depth, m		0.8	0.4	0.6	0.6	0.4	0.6	0.6	0.4	0.4	0.2
5	Plunge		0.2	0.8	0.8	0.8	0	0	0.8	0.8	0	0.4
6	RQD	Ore zone	0.6	0	0.8	0	0.4	0.9	0.6	0.6	0	0
7		Hanging wall	0.8	0.4	0.8	0.4	0.6	0.9	0.8	0.6	0.6	0
8		Foot wall	0.8	0.4	0.6	0.6	0	0	0.6	0.4	0.4	0
9	RSS	Ore zone	0.6	0	0.8	0.4	0.2	0.9	0.8	0.6	0	0
10		Hanging wall	0.8	0	0.6	0.25	0.4	0.9	0.8	0.4	0.4	0
11		Foot wall	0.8	0.2	0.6	0.4	0	0	0.6	0.4	0.25	0