New optimization algorithms for neural network training using operator splitting techniques.
- DOI
- 10.1016/j.neunet.2020.03.018
- Published
- 2020 Jun
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2020.03.018,
title = {New optimization algorithms for neural network training using operator splitting techniques.},
author = {Alecsa CD and Pinţa T and Boros I},
year = {2020},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2020.03.018},
url = {https://doi.org/10.1016/j.neunet.2020.03.018}
}RIS
TY - JOUR TI - New optimization algorithms for neural network training using operator splitting techniques. AU - Alecsa CD AU - Pinţa T AU - Boros I PY - 2020 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2020.03.018 UR - https://doi.org/10.1016/j.neunet.2020.03.018 ER -
APA
CD, A., T, P., & I, B. (2020). New optimization algorithms for neural network training using operator splitting techniques.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2020.03.018
Source records
- pubmed · retrieved 2026-09-26T03:25:56.666Z