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

<div>Linear activation function. It is one of the simplest activation functions, and it is fast to compute and does not have restrictions in the output.</div>

Discrete Dynamics in Nature and Society

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Figure 11

Figure 11: Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction 