Absrtact:With the rapid development of internet technology,traditional network traffic analysis methods are limited by the ability of manual rule setting and complex mode processing,which is difficult to adapt to the dynamic and complex nature of modern network environment.Deep learning,as a cutting-edge technology in the field of artificial intelligence,has shown enormous potential for application in network traffic analysis and optimization due to its excellent feature learning and pattern recognition capabilities.This article conducts in-depth research on the application of deep learning technology in network traffic analysis and optimization,aiming to explore its possibilities and effectiveness in improving network performance,ensuring network security,and improving resource utilization.
deep learningnetwork traffic analysisnetwork optimization
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