Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting

Research article (Microelectronic Engineering, 2022) · cited 18× · AI/ML
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Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting

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Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting. Retrieved May 24, 2026, from https://4ort.xyz/entity/dropout-neuronal-unit-with-tunable-probability-based-on-nbox-stochastic-memristor-for-efficient-suppression-of-overfitti
MLA “Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dropout-neuronal-unit-with-tunable-probability-based-on-nbox-stochastic-memristor-for-efficient-suppression-of-overfitti.
BibTeX @misc{4ortxyz_dropout-neuronal-unit-with-tunable-probability-based-on-nbox-stochastic-memristor-for-efficient-suppression-of-overfitti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting}}, year = {2026}, url = {https://4ort.xyz/entity/dropout-neuronal-unit-with-tunable-probability-based-on-nbox-stochastic-memristor-for-efficient-suppression-of-overfitti}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting — https://4ort.xyz/entity/dropout-neuronal-unit-with-tunable-probability-based-on-nbox-stochastic-memristor-for-efficient-suppression-of-overfitti (retrieved 2026-05-24)

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