"Sparsity through evolutionary pruning prevents neuronal networks from ..."

Richard C. Gerum et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2020.05.007

access: open

type: Journal Article

metadata version: 2021-05-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/nn/GerumEKS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/GerumEKS20
Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling:
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. Neural Networks 128: 305-312 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.