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...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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Lublin University of Technology
2023-03-01
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| Edice: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| On-line přístup: | https://ph.pollub.pl/index.php/iapgos/article/view/3366 |