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

Figure 6

Architecture of multilayer perceptron. This is a simple representation of the MLP, the input layer does not have a defined number of neurons because it may depend on the desired number of previous hours in this application. The hidden layer is defined with 10 neurons, and the output layer has one neuron because it is the number of hours we want to predict.