Abstract
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.
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