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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Bibliografiska uppgifter
Huvudupphovsmän: Saithip Limtrakul, Jeerayut Wetweerapong
Materialtyp: Artikel
Språk:English
Publicerad: Lublin University of Technology 2023-03-01
Serie:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Ämnen:
neural network
differential evolution
training neural network
function approximation
Länkar: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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