Neural Network Method for the Data Classification and Distribution in Adaptive Information Systems

Adaptive information systems receive and process a large amount of information of various types. An urgent task is the classification and the correct distribution of incoming data in given categories. The paper considers existing approaches to solving this problem using machine learning technologies. They are combined in a single neural network method for classifying and distributing data. The proposed method will automate the solution of problems of classification of information and files, verification of data received from users, the compliance of files with specified categories, the absence of duplication of information. The practical implementation of the method in the form of a neural network data distribution channel is considered. The experiments performed prove the accuracy and effectiveness of the proposed method.