Modeling chaotic diabetes systems using fully recurrent neural networks enhanced by fractional-order learning
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DOI: 10.1038/s41598-025-28637-8
Abstract: Modeling nonlinear medical systems plays a vital role in healthcare, especially in understanding complex diseases such as diabetes, which often exhibit nonlinear and chaotic behavior. Artificial neural networks (ANNs) have been widely utilized for system… read more here.
Keywords: systems using; chaotic diabetes; diabetes systems; modeling chaotic ... See more keywords