AN ENHANCED DIFFERENTIAL EVOLUTION ALGORITHM WITH ADAPTIVE WEIGHT BOUNDS FOR EFFICIENT TRAINING OF NEURAL NETWORKS

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Saithip Limtrakul, Jeerayut Wetweerapong
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Lublin University of Technology 2023-03-01
Seri Bilgileri:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Konular:
neural network
differential evolution
training neural network
function approximation
Online Erişim:https://ph.pollub.pl/index.php/iapgos/article/view/3366

Internet

https://ph.pollub.pl/index.php/iapgos/article/view/3366

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