ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 2. Vol. 29. 2023

DOI: 10.17587/it.29.91-97

S. A. Mantserov, Ph.D., Associate Professor, Nizhny Novgorod State Technical University named after R. E. Alekseev, Nizhny Novgorod, 603950, Russian Federation

Neuro-Fuzzy Classification of Technical Conditions of Objects of Complex Structure

The application of neural-fuzzy technologies for solving the problem of classification of states of objects of complex structure is considered. A quantitative assessment of the technical condition of the facility is proposed on the basis of a complex indicator — the technical condition index (ITS). The methodology of classification of technical conditions of objects of complex structure is based on the adaptive neural mesh interference system (ANFIS) and the neural mesh classifier (NNA), which significantly accelerated and improved the accuracy of calculations for effective management of these objects.
Keywords: classification, technical condition, technical condition index, neural fuzzy models of computing, neural fuzzy classifier

P. 91–97

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