AN ENHANCED DIFFERENTIAL EVOLUTION ALGORITHM WITH ADAPTIVE WEIGHT BOUNDS FOR EFFICIENT TRAINING OF NEURAL NETWORKS
Artificial neural networks are essential intelligent tools for various learning tasks. Training them is challenging due to the nature of the data set, many training weights, and their dependency, which gives rise to a complicated high-dimensional error function for minimization. Thus, global optimi...
| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Lublin University of Technology
2023-03-01
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| シリーズ: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| 主題: | |
| オンライン･アクセス: | https://ph.pollub.pl/index.php/iapgos/article/view/3366 |