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Комплексный эволюционный подход для автоматического проектирования коллективов нейронных сетей

Комплексный эволюционный подход для автоматического проектирования коллективов нейронных сетей

Abstract

Предлагается новый комплексный подход для проектирования коллективов нейронных сетей, состоящий из метода автоматического проектирования нейронных сетей и метода автоматического формирования коллективного решения на основе решений отдельных нейронных сетей. Показано, что предлагаемый подход не менее эффективен, чем ряд других подходов для проектирования коллективов нейронных сетей.

New comprehensive approach for neural network ensemble design is proposed. It consists of method for neural networks automatic design and method for ensemble decision automatic construction. It is demonstrated that proposed approach is not less effective than other approaches for neural network ensemble design

Keywords

НЕЙРОННЫЕ СЕТИ, КОЛЛЕКТИВ, АВТОМАТИЧЕСКОЕ ПРОЕКТИРОВАНИЕ, ГЕНЕТИЧЕСКОЕ ПРОГРАММИРОВАНИЕ, ВЕРОЯТНОСТНЫЙ ЭВОЛЮЦИОННЫЙ АЛГОРИТМ

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average