Neural network synthesis based on evolutionary optimization
The evolutionary approach for neural network structural synthesis is considered in this paper. The new method of multimodal evolutionary search with a chromosome clustering is offered. The developed method is based on the idea of simultaneous search of several optimums, thus chromosomes are grouped...
Збережено в:
| Дата: | 2015 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Навчально-науковий комплекс "Інститут прикладного системного аналізу" НТУУ "КПІ" МОН та НАН України
2015
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| Назва видання: | Системні дослідження та інформаційні технології |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/86133 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Neural network synthesis based on evolutionary optimization / A.A. Oliinyk, S.A. Subbotin // Системні дослідження та інформаційні технології. — 2015. — № 1. — С. 77-86. — Бібліогр.: 14 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | The evolutionary approach for neural network structural synthesis is considered in this paper. The new method of multimodal evolutionary search with a chromosome clustering is offered. The developed method is based on the idea of simultaneous search of several optimums, thus chromosomes are grouped in clusters on their arrangement in a search space. So stable subpopulations in different clusters are formed, diversity of search is provided, and convergence to different local minima is reached that allows to find closer to optimal architectures of neural networks. Software implementing proposed method is developed. The experiments with proposed method in practical problem solving were conducted. |
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