Semi-supervised fuzzy broad learning system based on mean-teacher model

• Published in: Pattern analysis and applications : PAA Vol. 27; no. 1
• Main Authors: Fan, Zizhu, Huang, Yijing, Xi, Chao, Peng, Cheng, Wang, Shitong
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2024; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Science; Distillation; Fuzzy logic; Labels; Machine learning; Neural networks; Pattern Recognition; Semi-supervised learning; Teachers; Theoretical Advances; Broad learning system (BLS); Semi-supervised learning; Takagi–Sugeno (TS) fuzzy system; Classification

Fuzzy broad learning system (FBLS) is a newly proposed fuzzy system, which introduces Takagi–Sugeno fuzzy model into broad learning system. It has shown that FBLS has better nonlinear fitting ability and faster calculation speed than the most of fuzzy neural networks proposed earlier. At the same ti...