Використання гіпотези λ-компактності при побудові навчаючої вибірки для прогнозуючих нейромережевих моделей
The problem of forming a qualitative training sample for neural networks in forecasting is solved. The possibility of use the hypothesis of λ-compactness at the step of forming an ensemble of recognizable classes is described. An advanced algorithm of forming a qualitative training sample is offered...
Збережено в:
| Дата: | 2019 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Російська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/164989 |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | The problem of forming a qualitative training sample for neural networks in forecasting is solved. The possibility of use the hypothesis of λ-compactness at the step of forming an ensemble of recognizable classes is described. An advanced algorithm of forming a qualitative training sample is offered on the basis of the mechanisms considered. |
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