Author(s)

Xincheng Jia ¹

Affiliation(s)

¹ Dalian Ocean University, Dalian, Liaoning, 116023, China

Corresponding Author

Xincheng Jia

ABSTRACT

Computer artificial intelligence recognition technology is a kind of operation means based on traditional computer technology, which has become a new type of science and technology today. At present, the scope of computer artificial intelligence recognition technology is very wide, and it is also very vulnerable to other different factors in the development. However, the research on key technologies of computer artificial intelligence recognition is relatively few in China, so relevant personnel must comprehensively study the application process of computer artificial intelligence recognition technology based on their own work experience, so as to provide strong reference for other personnel.

KEYWORDS

Computer, Artificial intelligence recognition, Key technology, Explore strategies

CITE THIS PAPER

Xincheng Jia, Discussion on Key Technologies of Computer Artificial Intelligence Recognition. Journal of Artificial Intelligence Practice (2023) Vol. 6: 79-84. DOI: http://dx.doi.org/10.23977/jaip.2023.060410.

REFERENCES

[1] Wang Jia. A Study on the Bottleneck of the Application of Computer Artificial Intelligence Identification Technology [J] Science and Technology Outlook, 2016, 26 (35): 93-94
[2] Tang Zhaobo. Take "I, Robot" as an example to analyze the impact of computer science and technology on artificial intelligence [J]. Digital Communication World, 2017 (12), 12-19.
[3] Feng Wanting. Analysis of character recognition methods in artificial intelligence machine learning from the perspective of character recognition [J]. Electronic Technology and Software Engineering, 2017, (13):253.
[4] Xu Yanjun, Chen Duanduan. Research Report on Phased Application of Artificial Intelligence in the Art Field [J]. Art Circles, 2017 (01): 278-286.
[5] Duan Haichen. Research on character recognition method of artificial intelligence machine learning in the view of character recognition [J]. Computer programming skills and maintenance, 2017, (12): 82-84.

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