Research on Optimization of Electronic Information and Communication Networks Driven by Artificial Intelligence
The article mainly explores the optimization method of electronic information and communication networks based on artificial intelligence.The research content includes data collection and preprocessing,feature engineering,and network architecture optimization.In terms of data collection and preprocessing,artificial intelligence technology is used to efficiently collect and preprocess a large amount of network data.The feature engineering process extracts key features through artificial intelligence algorithms to improve optimization accuracy and efficiency.The network architecture optimization section focuses on discussing optimization methods for network deployment functionality and network topology structure.The application of artificial intelligence technology is expected to enable adaptive adjustment of network deployment functions and dynamic optimization of network topology structure.
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