Обернене відображення Кастельжо в нечітких нейронних моделях
Neurofuzzy model construction algorithm for nonlinear dynamic system identification is considered using Bernstein polynomials as fuzzy membership functions. A new analytical method for the inverse Castelzho mapping is proposed to determine barycentric coordinates in bivariate function approximation...
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| Datum: | 2019 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainisch |
| Veröffentlicht: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Online Zugang: | http://journal.iasa.kpi.ua/article/view/171811 |
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| Назва журналу: | System research and information technologies |
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System research and information technologies| Zusammenfassung: | Neurofuzzy model construction algorithm for nonlinear dynamic system identification is considered using Bernstein polynomials as fuzzy membership functions. A new analytical method for the inverse Castelzho mapping is proposed to determine barycentric coordinates in bivariate function approximation by the Bezier surface. Examples of using new approach for the real problems of identification some equations in the simple macroeconometric model of Ukraine’s economy are shown. |
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