嵌入式网络电子信息搜索目标预测技术研究  

Research on Target Prediction Technology for Embedded Network Electronic Information Search

作　　者：陈程 CHEN Cheng(Academic Affairs Office of Guangxi Medical University,Nanning 530021,China)

机构地区：[1]广西医科大学教务处,南宁530021

出　　处：《移动信息》2025年第4期263-265,共3页Mobile Information

摘　　要：随着物联网和边缘计算技术的发展,嵌入式网络逐渐成为电子信息搜索应用的重要组成部分。通过对海量数据的有效分析和处理,嵌入式网络中的目标预测技术能显著增强搜索的效率和精确性。文中围绕嵌入式网络的架构和应用场景,结合机器学习和边缘计算,探讨了目标预测的数学模型、预测算法和数据特征提取方法,提出了一种嵌入式目标预测系统架构,并通过实验测试和性能评估验证了该技术在响应速度、能耗优化、精确度等方面的显著优势,希望能为该领域的发展提供一定的参考。With the development of Internet of Things and edge computing technology,embedded network has gradually become an important part of electronic information search applications.Through effective analysis and processing of massive data,target prediction technology in embedded network can significantly enhance the efficiency and accuracy of search.This paper focuses on the architecture and application scenarios of embedded networks,combines machine learning and edge computing,discusses the mathematical model,prediction algorithm and data feature extraction method of target prediction,and proposes an embedded target prediction system architecture.Through experimental testing and performance evaluation,the significant advantages of this technology in response speed,energy consumption optimization,precision,etc.are verified,hoping to provide some reference for the development of this field.

关 键 词：嵌入式网络 目标预测 电子信息搜索 机器学习 边缘计算 

分 类 号：TP306.1[自动化与计算机技术—计算机系统结构]