Дослідження каскадних нео-фаззі нейронних мереж у задачах прогнозування у фінансовій сфері
The problem of stock prices forecasting at stock exchanges is considered. The application of cascade neo-fuzzy neural networks (CNFNN) for its solution is suggested. The architecture and training algorithms (gradient and Widrow-Hoff) for CNFNN networks are considered. The experimental investigations...
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| Date: | 2014 |
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| Main Author: | |
| Format: | Article |
| Language: | Russian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2014
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| Online Access: | http://journal.iasa.kpi.ua/article/view/32561 |
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| Journal Title: | System research and information technologies |