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

<div>Sigmoid activation function. This activation function is well suited for classification problems, specifically for binary classification. It is slower to compute compared to ReLU and linear activation functions.</div>

Discrete Dynamics in Nature and Society

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Figure 13

Figure 13: Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction 