"The deep arbitrary polynomial chaos neural network or how Deep Artificial ..."

Sergey Oladyshkin et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2023.06.036

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/OladyshkinPKMNO23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/OladyshkinPKMNO23
Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks 166: 85-104 (2023)

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.