Open AccessAutomatic Control of Electronic Information Transmission Integrity Considering Gabp Neural Algorithm
Author(s) -
Tong Lin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2066/1/012068
Subject(s) - computer science , transmission (telecommunications) , reliability (semiconductor) , artificial neural network , control (management) , information transmission , bandwidth (computing) , real time computing , algorithm , artificial intelligence , computer network , telecommunications , power (physics) , physics , quantum mechanics
With the rapid development of the economy and society, information has become an essential social resource and creates wealth continuously. However, open electronic information can be easily lost during transmission control. In this paper, the state of the information network is determined through a series of indexes based on the GABP neural algorithm. At the same time, the rate of information transmission is adjusted based on the state of the information network through self-adaptation, and the integrity of information transmission is controlled by the genetic particle swarm algorithm. Based on reasonable control of the integrity of information transmission, the research on the automatic control technology of open electronic information transmission integrity is accomplished under the condition that the bandwidth and response delay indexes are meeting. The study results indicate that the neural algorithm based on the GABP network can automatically control the electronic information transmission integrity and improve the reliability of information transmission effectively.