Table 4 ANN parameters
From: Very-low-SNR cognitive receiver based on wavelet preprocessed signal patterns and neural network
Parameters | Value |
|---|---|
Number of layers | 2 |
Number of input nodes | 220,55,27 |
Number of output neurons | 3,4,5 |
Activation function | Sigmoid |
Training algorithm | Scaled conjugate gradient |
Gradient error level | 1×10−6 |
Performance function | Mean squared error |
Number of neurons in hidden layer | Varied from 8 to 40 |
Maximum number of epochs to train | 3000 |