Table 6 Specific settings of Parameters.
Parameter classification | Parameter name | Settings |
|---|---|---|
CNN parameters | Number of convolutional layers | 3rd floor |
Convolution kernel size | The first layer: 3 × 3, the second and third layers: 5 × 5 | |
Stride | 1 | |
Padding | ‘Same’ | |
Number of neurons | First floor: 32, second floor: 64, third floor: 128 | |
Pooling layer | Max pooling, window size 2 × 2 | |
LSTM parameters | Number of LSTM units | 128 |
Learning Rate | 0.001 | |
Optimizer | Adam | |
Batch Size | 32 | |
Number of iterations (Epochs) | 500 | |
SMA parameters | Number of slime mold individuals | 50 |
Food source detection threshold | 0.01 | |
Speed factor | Fast: 1.5, Slow: 0.5 | |
Weight update strategy | Dynamic weight update |
