"Breaking the conventional forward-backward tie in neural networks: ..."

Luigi Troiano et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.NEUCOM.2025.131178

access: closed

type: Journal Article

metadata version: 2025-09-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijon/TroianoGBT25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijon/TroianoGBT25
Luigi Troiano, Francesco Gissi, Vincenzo Benedetto, Genny Tortora:
Breaking the conventional forward-backward tie in neural networks: Activation functions. Neurocomputing 654: 131178 (2025)

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.