24 citations · 88 across the 12 of their papers we have counts for
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cs.NE2021★ 2 cited
Reliable and Fast Recurrent Neural Network Architecture Optimization
Andrés Camero, Jamal Toutouh, Enrique Alba
This article introduces Random Error Sampling-based Neuroevolution (RESN), a novel automatic method to optimize recurrent neural network architectures. RESN combines an evolutionar…
cs.NE2019★ 24 cited
Random Error Sampling-based Recurrent Neural Network Architecture Optimization
Andrés Camero, Jamal Toutouh, Enrique Alba
Recurrent neural networks are good at solving prediction problems. However, finding a network that suits a problem is quite hard because their performance is strongly affected by t…