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

Table 6

Values for weight (W) and bias (b) derived from the MATLAB toolbox.

Property/input	w1	w21 w2	b1	b2
General shape	5.4438	3.4113	8.803278	6.128579
Thickness of ore	12.4184	0.0339
Distribution of grade levels	−12.5975	−5.4184
Subsurface depth	−0.1821	−1.4329
Dip angle	11.1132	0.301
Rock quality designation (RQD) index	6.8993	2.6115
Rockmass Structure Rate (RSR)	−22.7358	0.7069
		−2.78847