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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training

Abstract Deep learning is one of the most popular machine learning methods, and has been used in many applications. However, conventional deep learning is a fully deterministic model that has difficulty reducing data uncertainty while shedding no light on model transparency. To this end, a novel adv...

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主要な著者: Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu
フォーマット: Artigo
言語:Inglês
出版事項: Springer 2025-05-01
シリーズ:Complex & Intelligent Systems
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オンライン・アクセス:https://doi.org/10.1007/s40747-025-01928-3
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