Підвищення точності нейромережевого прогнозування валютного курсу методами еволюційного моделювання
A set of models of feedforward neural networks is created to obtain operational forecasts of the time series of the hryvnia/dollar exchange rate. It is shown that using an evolutionary algorithm for the total search of basic characteristics and a genetic algorithm for searching the values of the mat...
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| Date: | 2024 |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2024
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/315124 |
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| Journal Title: | System research and information technologies |
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