PRACTICAL APPLICATION OF INTELLECTUAL DATA ANALYSIS IN THE CONTEXT OF NEURAL NETWORKS: A COGNITIVE-FREE APPROACH IN THE PROPAGANDA SYSTEM

Abstract

This article investigates the use of artificial neural networks as an intelligent data analysis tool. Due to the rapid growth of data volume caused by the automation of various technical processes, the use of such networks is particularly relevant. The article highlights the main methods of data analysis in the context of security science and analyzes the advantages and disadvantages of these methods. It is proven that in the system of practical application, the use of artificial neural networks for intelligent data analysis is quite appropriate. The areas of application of intelligent data analysis and existing systems are analyzed. A comparative characteristic of the use of neural network architecture in the context of security science conditions is carried out. An approach to a neural network for data selection with the separation of the corresponding stages is proposed. On the basis of which a practical representation of the simplest recurrent neural network with the separation of the corresponding stages is proposed. An algorithm for building the specified system is proposed. Promising directions for the use of intelligent data analysis methods are identified.