A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER

Existing facial emotion recognition methods do not have high accuracy and are not sufficient practical in real-time applications. We introduce type 2 fuzzy rough sets to develop a Type 2 Fuzzy Rough Convolutional Neural Network, as type 2 fuzzy rough sets form a suitable mathematical tool to charact...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.2772-2779
Hauptverfasser:	Chen, Xiangjian, Li, Di, Wang, Pingxin, Yang, Xibei
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithm adaption k-nearest-neighbors Algorithms Artificial neural networks Convolutional neural network Convolutional neural networks Emotion recognition Feature extraction Fuzzy logic Fuzzy sets Machine learning Mathematical analysis Neural networks Optimization Rough sets Task analysis Training Type 2 fuzzy rough sets Uncertainty
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