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

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

摘要

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

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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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.