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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks
Artificial neural networks are widely used in applications from various scientific fields and in a multitude of practical applications. In recent years, a multitude of scientific publications have been presented on the effective training of their parameters, but in many cases overfitting problems ap...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-03-01
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| シリーズ: | Foundations |
| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2673-9321/5/2/11 |
| タグ: |
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