"Gradient-based training and pruning of radial basis function networks with ..."

Jussi Määttä et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2020.10.002

access: open

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/nn/MaattaBKDNR21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/MaattaBKDNR21
Jussi Määttä, Viacheslav Bazaliy, Jyri Kimari, Flyura Djurabekova, Kai Nordlund, Teemu Roos:
Gradient-based training and pruning of radial basis function networks with an application in materials physics. Neural Networks 133: 123-131 (2021)

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.