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Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

Research article (IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019) · cited 45× · AI/ML
academia openalex:W2919095146
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Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

Summary

Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks is a scholarly article[1].

Key Facts

  • Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-floating-gate-memory-to-train-ideal-accuracy-neural-networks
MLA “Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-floating-gate-memory-to-train-ideal-accuracy-neural-networks.
BibTeX @misc{4ortxyz_using-floating-gate-memory-to-train-ideal-accuracy-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/using-floating-gate-memory-to-train-ideal-accuracy-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks — https://4ort.xyz/entity/using-floating-gate-memory-to-train-ideal-accuracy-neural-networks (retrieved 2026-05-24)

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