Table 1 Summarizes the hyper-parameters of deep neural networks (e.g., convolutional neural networks) and LACFNForest, where the default values used in our experiments are given
Parameter of LACFNForest | Value | Hyper-parameter of CNN | Value |
|---|---|---|---|
Population size | 50 | No. hidden layers | Uncertain |
Crossover probability | 0.4 | No. feature maps | Uncertain |
Mutation probability | 0.01 | No. nodes in hidden layers | Uncertain |
Level | 4 | Learning rate | Uncertain |
C1 | 2.0 | Kernal size | Uncertain |
C2 | 2.0 | Momentum | Uncertain |
Vmax | 2.0 | L1/L2 weight regularization penalty | Uncertain |