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Susilo Hariyanto

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Open access Sep 2026

NeuroFuzzyAdam: A Fuzzy-Enhanced Adaptive Optimization Algorithm for Deep Learning

NeuroFuzzyAdam is proposed, a novel optimizer that integrates fuzzy logic-based scalar modulation directly into the Adam update rule to improve learning stability and generalization and suggests that incorporating fuzzy logic into optimization dynamics presents a promising direction for enhancing robustness in neural n...

Susilo Hariyanto, Siti Khabibah, Retno Putri Dwi Rahmawati et al. · 0 citations

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