A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks

Research article (Neurocomputing, 2022) · cited 10× · AI/ML
Press Enter · cited answer in seconds

A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks

Summary

A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks is a scholarly article[1].

Key Facts

  • A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri
MLA “A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri.
BibTeX @misc{4ortxyz_a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks — https://4ort.xyz/entity/a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-backpropagation-with-gradient-accumulation-algorithm-capable-of-tolerating-memristor-non-idealities-for-training-memri · Last refreshed: