无线网络通信支持下的物流存储系统设计  

Design of logistics storage system supported by wireless network communication

作　　者：赵阶旭 蔡君 杨雪佳[1] ZHAO Jie-xu;CAI Jun;YANG Xue-jia(Guangzhou Modern Information Engineering College,Guangzhou 510670,China;Guangdong Polytechnic Normal University,Guangzhou 510665,China)

机构地区：[1]广州现代信息工程职业技术学院,广州510670 [2]广东技术师范大学,广州510665

出　　处：《信息技术》2024年第9期120-124,128,共6页Information Technology

基　　金：国家自然科学基金项目(GDKJXM20210069)。

摘　　要：为设计无线网络通信支持下基于深度神经网络的物流存储系统,文中采用深度神经网络展开粒子群的算法,进行深度神经元网络的节点函数选择,进行系统数据的解模糊输出,搭建模糊决策矩阵实现数据预警功能,完成对于物流存储系统的设计。通过对系统进行仿真分析,得出物流存储系统在泛洪攻击状态下的综合有效率达到100%,在扫描攻击状态下的综合有效率达到99.3%,在注入攻击状态下的综合有效率达到87.2%,表明该深度神经网络在无线网络通信支持下对物流存储系统的设计具有较高的综合应用价值。In order to design the deep neural network based logistics storage system supported by wireless network communication,the study uses a deep neural network to expand particle swarm optimization algorithm to carry out node function selection of the deep neural network,and the system data is deblurred and output.Then,the design of logistics storage system is finished by the achievement of data warning function after the construction of fuzzy decision matrix.Through simulation analysis of the system,it is found that the comprehensive efficiency of the logistics storage system in flood attack state reaches 100%,and 99.3%in scan attack state,while the injection attack state could reach 87.2%.The results confirm that the deep neural network has high comprehensive application value in the design of logistics storage systems supported by wireless network communication.

关 键 词：无线网络通信 深度神经网络 粒子优化 粒子群算法 物流存储系统 

分 类 号：TN801[电子电信—信息与通信工程]