Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach
Summary
Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach is a scholarly article[1].
Key Facts
Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-sampled-data-control-for-multiple-time-delayed-generalised-neural-networks-based-on-delay-partitioning-approac
MLA“Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-sampled-data-control-for-multiple-time-delayed-generalised-neural-networks-based-on-delay-partitioning-approac.
BibTeX@misc{4ortxyz_design-of-sampled-data-control-for-multiple-time-delayed-generalised-neural-networks-based-on-delay-partitioning-approac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-sampled-data-control-for-multiple-time-delayed-generalised-neural-networks-based-on-delay-partitioning-approac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach — https://4ort.xyz/entity/design-of-sampled-data-control-for-multiple-time-delayed-generalised-neural-networks-based-on-delay-partitioning-approac (retrieved 2026-05-24)
