膜系统在大数据时代的应用分析  

Application Analysis of Membrane Systems in the Era of Big Data

作　　者：向阳 魏冬梅 钟俊 李春利 李晋宇 XIANG Yang;WEI Dongmei;ZHONG Jun;LI Chunli;LI Jinyu(School of Computer and Software Engineering,Xihua University,Chengdu,China,610039)

机构地区：[1]西华大学计算机与软件工程学院,成都610039

出　　处：《福建电脑》2024年第5期58-64,共7页Journal of Fujian Computer

基　　金：教育部协同育人项目《“双一流”视角下混合式人工智能实践基地建设》(No.2220606627135356);四川省教育厅人文社会科学重点研究基地课题《面向“双碳”战略目标的多源数据驱动绿色治理与体育产业可持续发展的路径研究》(No.XXTYCY2023B04);西华大学教改项目《基于知识图谱的智能科学认知体系构建与课程建设》(No.xjjg2023061)资助

摘　　要：为了深入理解膜计算在大数据时代的应用和原理,本文对膜计算的发展历程进行了梳理,详细阐述了其核心概念,以及膜计算在大数据分析中的实现技术。并且,还详细分析了Tree-P组织型系统中的单一Tree-P系统和Tree-P组织系统在大数据处理中的独特优势及其实际应用。展望未来,膜计算在大数据时代有着巨大的发展潜力,但也面临一些挑战和问题。研究结果显示,膜计算,尤其是Tree-P系统,作为一种新兴的计算模型,在大数据处理中显示了高效性和灵活性,预示着广阔的应用前景。未来的研究可以集中在膜计算模型的优化、算法改进以及与现有技术的融合上,有望为大数据分析提供更为高效且可靠的解决方案。In order to deeply understand the application and principles of membrane computing in the era of big data,this paper sorts out the development process of membrane computing,elaborates on its core concepts in detail,and explores the implementation techniques of membrane computing in big data analysis.Moreover,it provides a detailed analysis of the unique advantages and practical applications of both the single Tree-P system and the Tree-P organization system within the Tree-P organizational system in big data processing.Looking ahead,membrane computing holds tremendous potential for development in the era of big data,but it also faces certain challenges and issues.Research findings indicate that membrane computing,especially the Tree-P system,as an emerging computational model,demonstrates efficiency and flexibility in big data processing,suggesting a broad application prospect.Future research efforts can focus on optimizing membrane computing models,improving algorithms,and integrating with existing technologies,potentially providing more efficient and reliable solutions for big data analysis.

关 键 词：自然计算 膜计算 大数据 Tree-P系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]