DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System

A key challenge in eXplainable Artificial Intelligence is the well-known tradeoff between the transparency of an algorithm (i.e., how easily a human can directly understand the algorithm, as opposed to receiving a post-hoc explanation), and its accuracy. We report on the design of a new deep network...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Yeganejou, Mojtaba, Honari, Kimia, Ryan Kluzinski, Dick, Scott, Lipsett, Michael, Miller, James
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Datasets Explainable artificial intelligence Fuzzy logic Fuzzy systems Inference Machine learning
Online-Zugang:	Volltext
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