ANNs Architecture | Hidden layers | Learning Rate | Epochs | Initialization | Output Function | Nickname |
---|---|---|---|---|---|---|
Conic Net [31] | 5 Layers= 4x12x12x12 | 0.01 | 1000 | Auto-encoders | Soft Max | D_FF_Conic (4x12x12x12) |
 | 5 Layers= 6x12x12x12 | 0.01 | 1000 | Auto-encoders | Soft Max | D_FF_Conic (6x12x12x12) |
1 Layer = 48 | 0.1 | 2000 | Random | Soft Max | D_FF_Sn [35] | |
Back Propagation [29] | 0 Layer = L | 0.1 | 1000 | Random | Soft Max | D_FF_Bp (0) |
 | 1 Layer = 24 | 0.1 | 1000 | Random | Soft Max | D_FF_Bp [22] |
 | 5 Layers= 16x16x16x16 | 0.01 | 2000 | Auto-encoders | Soft Max | D_FF_Bp (16x16x16x16) |
Bi-Modal Net | 1 Layer = 48 | 0.1 | 1000 | Random | Soft Max | D_FF_Bm [35] |
Gauss Net [36] | 1 Layer = 64 | 0.01 | 1000 | Random | Soft Max | D_FF_GNet [37] |