基于深度学习的计算机网络实验系统构建  

Construction of Computer Network Experiment System Based on Deep Learning

作　　者：隆昆 LONG Kun(Shanxi Land and Resources School,Jinzhong Shanxi 030600,China)

机构地区：[1]山西省国土资源学校,山西晋中030600

出　　处：《信息与电脑》2025年第6期54-56,共3页Information & Computer

摘　　要：为提升计算机网络实验系统的性能与智能化水平,设计了基于深度学习的分层模块化架构,集成了多种功能模块。研究分析了系统的硬件和软件架构、功能设计与实现过程,并进行了性能测试。结果表明,系统具有较高的扩展性、稳定性和资源利用效率,可有效支持网络实验环境的动态构建与智能化操作。In order to improve the performance and intelligence level of computer network experimental system,a hierarchical modular architecture based on deep learning is designed,integrating a variety of functional modules.The hardware and software architecture,function design and implementation process of the system are studied and analyzed,and the performance test is carried out.The results show that the system has high scalability,stability and resource utilization efficiency,and can effectively support the dynamic construction and intelligent operation of the network experimental environment.

关 键 词：深度学习 计算机网络 实验系统 网络虚拟化 

分 类 号：TP317[自动化与计算机技术—计算机软件与理论]