Exploring Entropy Measures with Topological Indices on Subdivided Cage Networks via Linear Regression Analysis

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-08-07 DOI:10.1080/08839514.2024.2387490

Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Mazhar Hussain, Eihab Bashier

引用次数: 0

Abstract

In this study, we investigate entropy measurements for subdivided cage networks based on topological indices. We specifically calculate different entropy, redefining Zagreb entropy, HM(G),M1(G), M2...

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通过线性回归分析探索细分笼状网络上带有拓扑指标的熵指标

在本研究中，我们研究了基于拓扑指数的细分笼状网络的熵测量。我们具体计算了不同的熵，重新定义了萨格勒布熵、HM(G)、M1(G)、M2...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.