Universal approximation property of stochastic configuration networks for time series
Abstract For the purpose of processing sequential data, such as time series, and addressing the challenge of manually tuning the architecture of traditional recurrent neural networks (RNNs), this paper introduces a novel approach-the Recurrent Stochastic Configuration Network (RSCN). This network is...
| Những tác giả chính: | , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Springer
2024-03-01
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| Loạt: | Industrial Artificial Intelligence |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/s44244-024-00017-7 |