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Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis
Results on a bearing problem showcases the efficacy of adding a physics-based aggregation in a fuzzy logic model to improve GAN's ability to model health and give a more accurate system prognosis.
Fuzzy Generative Adversarial Networks
This paper shows that adding a fuzzy logic layer can enhance GAN's ability to perform regression; the most desirable injection location is problem-specific, and we show this through experiments over various datasets.
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