Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

Figure 10

Architecture of two-dimensional convolutional neural network. The same process of Figure 9 takes place; then each kernel output is flattened and then stacked to get into the input neurons.