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SS-RNN: A Strengthened Skip Algorithm for Data Classification Based on Recurrent Neural Networks
Recurrent neural networks are widely used in time series prediction and classification. However, they have problems such as insufficient memory ability and difficulty in gradient back propagation. To solve these problems, this paper proposes a new algorithm called SS-RNN, which directly uses multipl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548744/ https://www.ncbi.nlm.nih.gov/pubmed/34721533 http://dx.doi.org/10.3389/fgene.2021.746181 |