Design of logistics storage system supported by wireless network communication
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 algo-rithm 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.
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