Method | Citation | Hyper-Parameters |
---|---|---|
Multi-layer perceptron network (MLP) | 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) | 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 |