Research on dynamic artificial intelligence method for deep learning of big data

Yang Wu; Pengyu Wang; Renchao Guo; Zhen Yang; Ling Zhou

doi:10.1117/12.2670540

1 June 2023 Research on dynamic artificial intelligence method for deep learning of big data

Yang Wu, Pengyu Wang, Renchao Guo, Zhen Yang, Ling Zhou

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252J (2023) https://doi.org/10.1117/12.2670540
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the field of artificial intelligence research, deep learning as a very active research field, mainly reflected in natural language processing, computer vision, speech recognition and other aspects. After entering the era of big data, with the continuous expansion of data scale, technological innovation of all enterprises has ushered in new opportunities and challenges, and scientific researchers have begun to use deep learning to solve the problem of big data prediction and analysis. Therefore, on the basis of understanding the research status of artificial intelligence, this paper deeply discusses the application reliability of deep learning algorithms of artificial intelligence according to the dynamic changes of deep learning of big data. The final results show that the dynamic artificial intelligence method of deep learning with big data meets the needs of practical application.

Citation Download Citation

Yang Wu, Pengyu Wang, Renchao Guo, Zhen Yang, and Ling Zhou "Research on dynamic artificial intelligence method for deep learning of big data", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252J (1 June 2023); https://doi.org/10.1117/12.2670540

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