A modified forward‐backward splitting methods for the sum of two monotone operators with applications to breast cancer prediction

This work proposes a modified forward‐backward splitting algorithm combining an inertial technique for solving the monotone variational inclusion problem. The weak convergence theorem is established under some suitable conditions in Hilbert space, and a new step size is presented for our algorithm t...

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Veröffentlicht in:	Mathematical methods in the applied sciences Jg. 46; H. 1; S. 1251 - 1265
Hauptverfasser:	Peeyada, Pronpat, Dutta, Hemen, Shiangjen, Kanokwatt, Cholamjiak, Watcharaporn
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Freiburg Wiley Subscription Services, Inc 15.01.2023
Schlagworte:	Algorithms breast cancer Convergence data classification forward‐backward algorithm Hilbert space inertial method Machine learning monotone inclusion Splitting Theorems
ISSN:	0170-4214, 1099-1476
Online-Zugang:	Volltext
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