Home › Entities › academia › Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory

Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory

Research article (Neural Networks, 2015) · cited 127× · AI/ML
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Non-fragile H∞ synchronization of memristor-based neural networks using passivity theory

Summary

Non-fragile H∞ synchronization of memristor-based neural networks using passivity theory is a scholarly article<sup id="cite-A2" class="cite-ref" title="Non-fragile H∞<">[1].

Key Facts

  • Non-fragile H∞ synchronization of memristor-based neural networks using passivity theory's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Non-fragile H∞<">[2].

References

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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). Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-fragile-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si43-gif-display-inline-overflow-scroll-mml-msub-
MLA “Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-fragile-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si43-gif-display-inline-overflow-scroll-mml-msub-.
BibTeX @misc{4ortxyz_non-fragile-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si43-gif-display-inline-overflow-scroll-mml-msub-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory}}, year = {2026}, url = {https://4ort.xyz/entity/non-fragile-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si43-gif-display-inline-overflow-scroll-mml-msub-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si43.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> synchronization of memristor-based neural networks using passivity theory — https://4ort.xyz/entity/non-fragile-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si43-gif-display-inline-overflow-scroll-mml-msub- (retrieved 2026-05-24)

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