Table 8 Model hyper-parameters
| Method | Citation | Hyper-Parameters |
|---|---|---|
| Multi-layer perceptron network (MLP) | [55, 57] |
Number of hidden layers: 3 Optimization method: scaled conjugate gradient backpropagation, learning rate self-adapting Neurons per hidden layer: 50, 25, 10 Loss function: mean-squared error |
| Radial-basis function network with relevance (rRBF) | [58,59,60] |
Number of radial basis functions: 30 Optimization method: scaled non-linear conjugate gradient, learning rate self adapting Loss function: mean-squared error |
| Partially least square (PLS) | [61] | Number of components: 20 |
| Linear discriminance model (LDA) | [62] | No hyper-parameters |