| Autor: |
GUBAREV, V. F., MILIAVSKYI, Yu. L. |
| Zdroj: |
Cybernetics & Systems Analysis / Kibernetiki i Sistemnyj Analiz; 2023, Issue 4, p43-59, 17p |
| Abstrakt: |
A process of complex systems identification is examined in this paper. It was established that it is impossible to create a universal identification method. Only for a well-identifiable system with a high signal-to-noise ratio for each individual system mode, a high-quality model can be reconstructed. In other cases, if modes with sufficiently small signal-to-noise ratio exist, only a surrogate model can be obtained. For cognitive maps, theoretical foundations are developed, which may be used in approaches to find a surrogate model and then to improve the result using different tuning and learning algorithms. Numerical simulation was used to analyze the identification process. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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