Diagram showing the structure of artificial neural networks used in the current study.

In the multilayer perceptron, there were 10 nodes in the first input layer, 6 nodes in the second layer, and 3 nodes in the third layer. Each of the 4 layers (input, two hidden, and output layers) were connected through the stacked denoising autoencoder. Artificial neural network output diagram with insets for each layer. Output figure generated by IBM SPSS vesion.23.0 (Chicago, IL, USA). *parameters include 10 variables.