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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Bibliographic Details

Published in:	Applied mathematics in science and engineering Vol. 32; no. 1
Main Authors:	Cholamjiak, Watcharaporn, Das, Shilpa
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis Ltd 31.12.2024 Taylor & Francis Group
Subjects:	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
Online Access:	Get full text
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