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https://ah.lib.nccu.edu.tw/handle/140.119/129558| 題名: | Hausdorff Dimension of Multi-Layer Neural Networks | 作者: | 班榮超 Ban, Jung-Chao Chang, Chih-Hung |
貢獻者: | 應數系 | 關鍵詞: | Multi-Layer Neural Networks ; Hausdorff Dimension ; Sofic Shift ; Output Space | 日期: | Nov-2013 | 上傳時間: | 28-Apr-2020 | 摘要: | This elucidation investigates the Hausdorff dimension of the output space of multi-layer neural networks. When the factor map from the covering space of the output space to the output space has a synchronizing word, the Hausdorff dimension of the output space relates to its topological entropy. This clarifies the geometrical structure of the output space in more details. | 關聯: | Advances in Pure Mathematics, 2013, 3, 9-14 | 資料類型: | article | DOI: | https://doi.org/10.4236/apm.2013.39A1002 |
| Appears in Collections: | 期刊論文 |
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