Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization
In this study, we present a deterministic convergence analysis of Gated Recurrent Unit (GRU) networks enhanced by a smoothing regularization technique. While GRU architectures effectively mitigate gradient vanishing/explodin... | Find, read and cite all the research you need on Tech Science Press
Authors
- Dingli Yu (ORCID: https://orcid.org/0000-0003-3177-8942)
- Tao Xu (ORCID: https://orcid.org/0000-0002-8993-9481)
- Zhen Wang (ORCID: https://orcid.org/0000-0001-7188-5828)
- Qian Zhu (ORCID: https://orcid.org/0000-0003-2122-1657)
- Qian Kang (ORCID: https://orcid.org/0000-0002-9624-5111)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061913
- Citations
- 1
- Primary Topic
- Antenna Design and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- Tencent
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities