Abstract
In recent years, with the continuous development of my country's social science and technology level, people's research and exploration in the field of cross-border technology AI has become more and more in-depth, and the society's demand for cross-border technology integration and application in the field of artificial intelligence has also increased. Gradually increasing, only by investing more research and analysis, can there be greater breakthroughs and development in the application of cross-border technology AI. Based on the neural network algorithm, this paper takes the key point of the field of artificial intelligence as the starting point, and explores the application of cross-border technology AI from a new perspective. This paper briefly introduces the current cross-border technology AI and its development trend, studies the existing cross-border technology integration applications in the field of artificial intelligence, and conducts a series of experiments to prove the artificial intelligence based on neural network algorithm. Cross-border technology integration in the field of intelligence has specific advantages. The final results of the research show that the fusion coefficient of experiment 5 is 93, and the matching degree of cross-border technology fusion in the field of artificial intelligence is 98.7%. Through the comparison of experimental data, it is found that the matching degree of cross-border technology AI has always maintained a stable level, that is, it has remained around 99%. It shows that the matching degree of cross-border technology fusion in the field of artificial intelligence does not change with the change of the fusion coefficient.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qiu, Y., Tang, Z., Luo, Y. (2023). Cross-Border Technology Integration in the Field of Artificial Intelligence Based on Neural Network Algorithm. In: Li, A., Shi, Y., Xi, L. (eds) 6GN for Future Wireless Networks. 6GN 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-031-36014-5_7
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DOI: https://doi.org/10.1007/978-3-031-36014-5_7
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