Нейросетевая модель анализа технологических временных рядов в рамках методологии Data Mining

Abstract

The article considers the problem of detection and recognition of technological events and engineering network node states on the basis of technological time series analysis. Development of the heterogeneous neural network module of the object condition diagnosing within the scope of Data Mining strategy for technological time series segmentation, clustering and classification of the available data are described.