Research Article

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

Table 3

Summary of 40 MLP architectures.

ArchitectureActivation FunctionMean
RMSEMAPEIOAR2

MLPLinear19.7640.23690.86950.5866
ReLU20.38850.24610.85760.56
Sigmoid20.32890.24930.86380.5626
Softplus20.1050.24080.86080.5722
Total20.14660.24330.86290.5703