Maximum total correntropy-based broad learning system with robust M-estimator.
- DOI
- 10.1016/j.neunet.2026.108917
- Published
- 2026 Sep
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
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.2026.108917,
title = {Maximum total correntropy-based broad learning system with robust M-estimator.},
author = {Chen T and Chen X and Li W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.108917},
url = {https://doi.org/10.1016/j.neunet.2026.108917}
}RIS
TY - JOUR TI - Maximum total correntropy-based broad learning system with robust M-estimator. AU - Chen T AU - Chen X AU - Li W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.108917 UR - https://doi.org/10.1016/j.neunet.2026.108917 ER -
APA
T, C., X, C., & W, L. (2026). Maximum total correntropy-based broad learning system with robust M-estimator.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.108917
Source records
- pubmed · retrieved 2026-11-10T11:44:39.999Z
- europe-pmc · retrieved 2026-11-10T11:44:40.004Z