An incremental construction of deep neuro fuzzy system for continual learning of nonstationary data streams

An incremental construction of deep neuro fuzzy system for continual learning of nonstationary data streams

Existing fuzzy neural networks (FNNs) are mostly developed under a shallow network configuration having lower generalization power than those of deep structures. This article proposes a novel self-organizing deep FNN, namely deep evolving fuzzy neural network (DEVFNN). Fuzzy rules can be automatical...

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書目詳細資料
Main Authors:	Pratama, Mahardhika, Pedrycz, Witold, Webb, Geoffrey I.
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Fuzzy Neural Networks Merging
在線閱讀:	https://hdl.handle.net/10356/161032
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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