Retraction

Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network

Paper Information

Record ID:
52167
Author(s):
Publication Date:
September 30, 2021
Retraction Date:
January 24, 2024 (1.8 year years ago)
Article Type:
Publisher:
Hindawi
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Citations (6)

6
Total Citations
2
Post-Retraction
(33.3%)
2
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
2 Within 1 year
0 After 2+ years
282 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Structural parameter optimization of radial basis function neural network based on improved genetic algorithm and cost function model
Lianhui Li, Adham Manyara, Jie Liu
Advances in Mechanical Engineering Open Access
Published: Nov 2024
1 citation
282 days after retraction
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A Case Study of a Spring Factory
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su
Applied Sciences Open Access
Published: Mar 2024
1 citation
65 days after retraction
Retracted: Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network
International Journal of Antennas and Propagation
International Journal of Antennas and Propagation Open Access
Published: Jan 2024
Same day as retraction
Implementation of Non-state Pension Provision in Ukraine in the System of Strengthening Social Protection
Oksana Cheberyаko, Zakharii Varnalii, Viktoriia Нurochkina et al. (4 authors)
Ekonomika Open Access
Published: Oct 2023
2 citations
107 days before retraction
Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
Sheng-Min Chiu, Yi‐Chung Chen, Cheng-Ju Kuo et al. (7 authors)
IEEE Transactions on Instrumentation and Measurement
Published: Jan 2022
16 citations
753 days before retraction
Quick Stats
Total Citations: 8
Years Since Retraction: 1.8 year
Open Access: Yes
Last Checked: Jul 24, 2025
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