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A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification.一种用于 $\nu $ -支持向量分类的鲁棒正则化路径算法。
IEEE Trans Neural Netw Learn Syst. 2017 May;28(5):1241-1248. doi: 10.1109/TNNLS.2016.2527796. Epub 2016 Feb 24.
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关于分层单值软拓扑生成结构

On stratified single-valued soft topogenous structures.

作者信息

Alsharari Fahad, Saber Yaser, Alohali Hanan, Alqahtani Mesfer H, Ebodey Mubarak, Elmasry Tawfik, Alsharif Jafar, Soliman Amal F, Smarandache Florentin, Sikander Fahad

机构信息

Department of Mathematics, College of Science, Jouf University, Sakaka 72311, Saudi Arabia.

Department of Mathematics, College of Science Al-Zulfi, Majmaah University, P. O. Box 66, Al-Majmaah 11952, Saudi Arabia.

出版信息

Heliyon. 2024 Mar 16;10(6):e27926. doi: 10.1016/j.heliyon.2024.e27926. eCollection 2024 Mar 30.

DOI:10.1016/j.heliyon.2024.e27926
PMID:39670082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11636833/
Abstract

This paper presents novel concepts including stratified single-valued neutrosophic soft topogenous (), stratified single-valued neutrosophic soft filter (), stratified single-valued neutrosophic soft quasi uniformity () and stratified single-valued neutrosophic soft quasi proximity (). Additionally, we present the idea of single-valued neutrosophic soft topogenous structures, formed by integrating svns-topogenous with svns-filter, and discuss their properties. Furthermore, we explore the connections between these single-valued neutrosophic soft topological structures and their corresponding stratifications.

摘要

本文提出了新颖的概念,包括分层单值中智软拓扑生成元()、分层单值中智软滤子()、分层单值中智软拟一致性()和分层单值中智软拟邻近性()。此外,我们提出了通过将单值中智软拓扑生成元与单值中智软滤子相结合而形成的单值中智软拓扑生成结构的概念,并讨论了它们的性质。此外,我们还探讨了这些单值中智软拓扑结构与其相应分层之间的联系。