Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"A Jump-Gain Integral Recurrent Neural Network for Solving Noise-Disturbed ..."

Zhijun Zhang et al. (2024)

> Home

Details and statistics

DOI: 10.1109/TNNLS.2023.3241207

access: closed

type: Journal Article

metadata version: 2024-04-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tnn/ZhangSZL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/ZhangSZL24
Zhijun Zhang, Yating Song, Lunan Zheng, Yamei Luo:
A Jump-Gain Integral Recurrent Neural Network for Solving Noise-Disturbed Time-Variant Nonlinear Inequality Problems. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5793-5806 (2024)

a service of

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.