A modified projective forward-backward splitting algorithm for variational inclusion problems to predict Parkinson's disease

This research studies variational inclusion problems, which is a branch of optimization. A modified projective forward-backward splitting algorithm is constructed to solve this problem. The algorithm adds the inertial technique for speeding up the convergence, and the projective method for several r...

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Vydáno v:	Applied mathematics in science and engineering Ročník 32; číslo 1
Hlavní autoři:	Cholamjiak, Watcharaporn, Das, Shilpa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis Ltd 31.12.2024 Taylor & Francis Group
Témata:	46T99 Accuracy Algorithms extreme learning machines (ELM) forward-backward splitting algorithm Machine learning Parkinson's disease Performance evaluation Recall Regularization regularized least squares Splitting Variational inclusion problem
ISSN:	2769-0911, 2769-0911
On-line přístup:	Získat plný text
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