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Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach
Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach
Summary
Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach is a scholarly article[1].
Key Facts
Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/exponentially-finite-time-dissipative-discrete-state-estimator-for-delayed-competitive-neural-networks-via-semi-discreti
MLA“Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exponentially-finite-time-dissipative-discrete-state-estimator-for-delayed-competitive-neural-networks-via-semi-discreti.
BibTeX@misc{4ortxyz_exponentially-finite-time-dissipative-discrete-state-estimator-for-delayed-competitive-neural-networks-via-semi-discreti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach}}, year = {2026}, url = {https://4ort.xyz/entity/exponentially-finite-time-dissipative-discrete-state-estimator-for-delayed-competitive-neural-networks-via-semi-discreti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exponentially finite-time dissipative discrete state estimator for delayed competitive neural networks via semi-discretization approach — https://4ort.xyz/entity/exponentially-finite-time-dissipative-discrete-state-estimator-for-delayed-competitive-neural-networks-via-semi-discreti (retrieved 2026-05-24)
