"AnGeL: Fully-Automated Analog Circuit Generator Using a Neural Network ..."

Morteza Fayazi et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TCSI.2023.3295737

access: closed

type: Journal Article

metadata version: 2023-11-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tcasI/FayaziTAD23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tcasI/FayaziTAD23
Morteza Fayazi, Morteza Tavakoli Taba, Ehsan Afshari, Ronald G. Dreslinski:
AnGeL: Fully-Automated Analog Circuit Generator Using a Neural Network Assisted Semi-Supervised Learning Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4516-4529 (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.