Automation of Data Flow Management Based on Artificial Intelligence in Systems with an Internal Distribution Mechanism

This research work is devoted to the development of optimal management approaches to data flows based on artificial intelligence algorithms in systems with an internal distribution mechanism. The study first discusses the internal distribution mechanism, its capabilities, and the design necessary to achieve efficiency. During the research, an algorithm for managing data flows in the internal distribution mechanism is developed. In addition, the use of artificial intelligence algorithms that are machine learning algorithms and multilayer neural networks is considered to implement the steps of this algorithm. This thread looks at identifying the most effective machine learning algorithms and multilayer neural network architectures for research. The research also discusses the methods of distribution of data in the internal distribution mechanism. It also provides information about the methodology of the research process and the computers used in the research. The results obtained in the research are described and analyzed. The main conclusions based on the results obtained at the end of the research are presented in detail.

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