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

<div>Softplus activation function. This one is also slower to compute than ReLU and linear activation function, but is well suited for regression applications and does not have a drastic change in the output values like ReLU.</div>

Discrete Dynamics in Nature and Society

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Figure 14

Figure 14: Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction 