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3. The BP hidden layer, which consists of the neurons between the RBF hidden layer and output layer.

Fig. 4 Distribution of singular values of hidden layer weights.

The neural networks had one hidden layer with 20 neurons.

They contains one visible layer and one hidden layer.

The coefficient of the first linear hidden layer and the second linear hidden layer is LW = - 1.23.

One hidden layer and a single output unit was used.

Both one-hidden-layer and two-hidden-layer network architectures were explored by the GA.

Fig. 8 Performance comparison between one-hidden-layer (a) and two-hidden-layer (b) neural networks.

Figure 8 depicts a performance comparison between the two-hidden-layer neural network and one-hidden-layer neural network.

Figure 9 shows that the two-hidden-layer performance is better than the one-hidden-layer for the three users.

For user 2, the one-hidden-layer NN model performance is better than the two-hidden-layer NN model.