Evidence map›Paper›PMID 38374277›Full record

ArticleScientific reports2024

On uniform stability and numerical simulations of complex valued neural networks involving generalized Caputo fractional order.

Sumati Kumari Panda, Thabet Abdeljawad, A M Nagy

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sumati Kumari Panda *Department of Mathematics, GMR Institute of Technology, Rajam, Andhra Pradesh, 532127, India.
Thabet Abdeljawad *Department of Mathematics and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia. tabdeljawad@psu.edu.sa.
A M Nagy *Department of Mathematics, College of Science, Kuwait University, 13060, Safat, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics and existence results of generalized Caputo fractional derivatives have been studied by several authors. Uniform stability and equilibrium in fractional-order neural networks with generalized Caputo derivatives in real-valued settings, however, have not been extensively studied. In contrast to earlier studies, we first investigate the uniform stability and equilibrium results for complex-valued neural networks within the framework of a generalized Caputo fractional derivative. We investigate the intermittent behavior of complex-valued neural networks in generalized Caputo fractional-order contexts. Numerical results are supplied to demonstrate the viability and accuracy of the presented results. At the end of the article, a few open questions are posed.

Identifiers

PMID38374277
PMCPMC11269755

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.