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On the performance of deep learning for numerical optimization: an
  application to protein structure prediction

On the performance of deep learning for numerical optimization: an application to protein structure prediction

Applied Soft Computing (ASC), 2020
17 December 2020
H. Rakhshani
L. Idoumghar
Soheila Ghambari
Julien Lepagnot
Mathieu Brévilliers
ArXiv (abs)PDFHTML

Papers citing "On the performance of deep learning for numerical optimization: an application to protein structure prediction"

1 / 1 papers shown
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural
  Network Architectures Across Different Types
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different TypesApplied Soft Computing (ASC), 2022
Zhenhao Shuai
Hongbo Liu
Zhaolin Wan
Wei-jie Yu
Jinchao Zhang
209
4
0
27 Nov 2022
1
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