Recurrent neural network optimisation based on linearly constrained numerical methods

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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071630
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Recurrent neural network optimisation based on linearly constrained numerical methods

Wenmin Song, Min Li, Wei Han, Ping Gu
International Journal of Information and Communication Technology
Neural Networks and Applications
article

Recurrent neural network optimisation based on linearly constrained numerical methods

Wenmin Song, Min Li, Wei Han, Ping Gu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 26(21)
Openalex Percentile: Top 94%
Neural Networks and Applications
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Recurrent neural network optimisation based on linearly constrained numerical methods — Wenmin Song, Min Li, et al. · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS