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학술논문

Application research of artificial intelligence technology in computer network

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영문명
발행기관
ACADEMIC FRONTIERS PUBLISHING GROUP(AFP)
저자명
Ruixiang Cai
간행물 정보
『Journal of Engineering and Technology Management (JETM) 』Vol. 1 No.4, 40~46쪽, 전체 7쪽
주제분류
인문학 > 역사학
파일형태
PDF
발행일자
2024.11.30
4,000

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국문 초록

In today' s information age, computer network technology has become a key infrastructure for social development. However, with the expansion of network scale and the diversification of attack means, network security and resource management are facing unprecedented challenges. For this reason, the introduction and application of artificial intelligence ( AI) technology is particularly important. This paper systematically summarizes the definition, characteristics and application basis of artificial intelligence technology in computer network technology, including machine learning, deep learning, natural language processing and computer vision and other key technologies. By exploring the specific app lications of intelligent firewall, intrusion detection, data processing and cleaning, network traffic management and optimization, network security and protection, and artificial intelligence agents and network resource sharing, this paper reveals the great potential of artificial intelligence technology in improving network security, reliability and efficiency. At the same time, it also points out thechallenges facedby artificial intelligencetechnology inthe application process and the future development trend.

영문 초록

목차

1 Overview of Artificial Intelligence Technology
2 Foundations of AI Application in Computer Network Technologies
3 Applications of Artificial Intelligence in Computer Network Technology
4 Conclusion
Reference

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APA

Ruixiang Cai. (2024).Application research of artificial intelligence technology in computer network. Journal of Engineering and Technology Management (JETM) , 1 (4), 40-46

MLA

Ruixiang Cai. "Application research of artificial intelligence technology in computer network." Journal of Engineering and Technology Management (JETM) , 1.4(2024): 40-46

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