Research On Intelligent Application of Machine Learning in Next Generation Computer Network

As a branch of AI, machine learning (ML) provides a new idea of intelligent management for the next generation computer network with its powerful data processing and pattern recognition capabilities. ML monitors and dynamically adjusts the traffic allocation strategy in real time by establishing a model in network traffic management to avoid congestion. In terms of network security protection, ML realizes anomaly detection, attack behavior identification and adaptive protection, which improves the response ability to unknown threats. In the allocation of network resources, ML predicts traffic changes, supports personalized service recommendation, and enhances user experience and resource utilization efficiency. Although ML has a broad application prospect, the problems it faces, such as data privacy and security, algorithm selection and optimization, and interpretability, cannot be ignored. Therefore, this paper puts forward some countermeasures, such as ensuring data security, optimizing algorithm performance and improving algorithm transparency, to promote the effective application of ML in complex network environment, so as to build a more secure, stable and efficient next-generation computer network, which has important theoretical and practical significance.