An embedded deep fuzzy association model for learning and explanation
This paper explores the complementary benefits of embedding a deep learning model as a fully data-driven fuzzy implication operator of a five-layer neuro-fuzzy system for learning and explanations for the predictions of both steady-state and dynamically changing data. In traditional Mandani-type neu...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/164597 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|