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A Study of OWA Operators Learned in Convolutional Neural Networks
2021
Applied Sciences
Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image in the early stages, where most CNN architectures only allow for the exploitation of local information. As a side effect of this integration, the OWA layer becomes a practical method for the determination of OWA operator weights, which is usually a difficult task that
doi:10.3390/app11167195
fatcat:n7ukcufphfb53arxcutvke4mca