Adaptive neuro-networking complex for automated diagnostics of stochastic dynamic objects of nuclear power-station
In this work the approach for training and automated adaptation of diagnostic neuro-networking structure on the basis of Kohonen’s topology in conditions of a priori uncertainty of many classes to be recognized is proposed. This approach is implemented on the basis of determination of the moment of...
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| Datum: | 2026 |
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| Format: | Artikel |
| Sprache: | Ukrainisch |
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PROBLEMS IN PROGRAMMING
2026
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| Online Zugang: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/960 |
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| Назва журналу: | Problems in programming |
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Problems in programming| Zusammenfassung: | In this work the approach for training and automated adaptation of diagnostic neuro-networking structure on the basis of Kohonen’s topology in conditions of a priori uncertainty of many classes to be recognized is proposed. This approach is implemented on the basis of determination of the moment of disorder of random time series using the autoregressive model.Problems in programming 2010; 2-3: 611-615 |
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