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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Saithip Limtrakul, Jeerayut Wetweerapong
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Lublin University of Technology 2023-03-01
Σειρά:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
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Διαθέσιμο Online:https://ph.pollub.pl/index.php/iapgos/article/view/3366