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- W4307346061 abstract "Land-air communication is the most basic working mode in air traffic control. The development of my country's aviation industry has put forward higher requirements for the quality and level of managers. Air traffic controllers are closely related to aviation safety, and it is of great significance for aviation safety to recognize the voice of land and air calls into text. Controllers must communicate with domestic and international flights within the same time frame, which involves frequent switching between Chinese and English, which increases the chance of ground-to-air calls going wrong. Therefore, the application of information technology in the field of air-ground communication will help reduce the semantic errors of air-ground communication, improve the controller's work, and provide convenience. The experimental results show that as the training rate increases, the training time decreases, while the number of network layers increases, the training time increases. Therefore, a good inference model can only be made by finding the correlation between pairs of parameters. In this test, the model performed best with r=0.0001 and n=3." @default.
- W4307346061 created "2022-10-31" @default.
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- W4307346061 creator A5090412627 @default.
- W4307346061 date "2022-09-23" @default.
- W4307346061 modified "2023-09-27" @default.
- W4307346061 title "An Intelligent Recognition and Diagnosis System for English in Radio Land-Air Calls Based on Optimization Algorithm" @default.
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- W4307346061 doi "https://doi.org/10.1145/3558819.3563735" @default.
- W4307346061 hasPublicationYear "2022" @default.
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