Каскадні нейро-нечіткі мережі в задачах прогнозування на ринках цінних паперів
A forecasting problem at the stock exchange is considered. For its solution the application of a cascade neo-fuzzy neural network (CNFNN) is suggested. The architecture of the neo-fuzzy neuron and architecture of CNFNN is presented. Training algorithms of CNFNN in packet mode and on-line are describ...
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| Datum: | 2017 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Russisch |
| Veröffentlicht: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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| Schlagworte: | |
| Online Zugang: | http://journal.iasa.kpi.ua/article/view/108823 |
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| Назва журналу: | System research and information technologies |