Модифікація алгоритму навчання К2 для задачі адаптації байєсівської нейронної мережі
The problem of Bayesian neural network adaptation to new data was formulated and analyzed in accordance with the Bayesian approach to obtain a set of possible strategies for the problem solution. For concrete strategy, an algorithm for incremental adaptation of the Bayesian neural network to new obs...
Збережено в:
| Дата: | 2019 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | rus |
| 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/154654 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | The problem of Bayesian neural network adaptation to new data was formulated and analyzed in accordance with the Bayesian approach to obtain a set of possible strategies for the problem solution. For concrete strategy, an algorithm for incremental adaptation of the Bayesian neural network to new observations was developed. The К2 network construction batch algorithm was used as a basis of the adaptation algorithm to provide necessary adaptation criteria. |
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