ALGORITHMS FOR MONITORING THE STATE OF DYNAMIC OBJECTS AND MAKING DECISIONS BASED ON NEURAL NETWORKS.
Keywords:
dynamic object monitoring, decision-making, neural networks, real-time data analysis, algorithms, automated systems.Abstract
This article examines algorithms based on neural networks for monitoring the state of dynamic objects and decision-making. The study focuses on optimizing real-time monitoring processes and improving accuracy. The flexibility and efficiency of neural networks, particularly in data processing and analysis, are detailed. Additionally, the performance of the model has been tested in various scenarios, and the results have been analyzed. These algorithms are shown to be effectively applicable in automated control systems, industrial technologies, and security systems.
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