Interactive Transfer Learning-Assisted Fuzzy Neural Network

Transfer learning algorithm can provide a framework to utilize the previous knowledge to train fuzzy neural network (FNN). However, the performance of TL-based FNN will be destroyed by the knowledge over-fitting problem in the learning process. To solve this problem, an interactive transfer learning...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2022-06, Vol.30 (6), p.1900-1913
Hauptverfasser:	Han, Honggui, Liu, Hongxu, Liu, Zheng, Qiao, Junfei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Balancing Fuzzy logic Fuzzy neural network (FNN) Fuzzy neural networks generalization performance Industrial applications interactive transfer learning (ITL) Knowledge Knowledge engineering Learning systems Machine learning negative transfer Neural networks Neurons Transfer learning Uncertainty
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