| dc.contributor | 應數系 | |
| dc.creator (作者) | 班榮超 | |
| dc.creator (作者) | Ban, Jung-Chao | |
| dc.creator (作者) | Chang, Chih-Hung | |
| dc.date (日期) | 2013-11 | |
| dc.date.accessioned | 28-Apr-2020 13:55:07 (UTC+8) | - |
| dc.date.available | 28-Apr-2020 13:55:07 (UTC+8) | - |
| dc.date.issued (上傳時間) | 28-Apr-2020 13:55:07 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/129558 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 208238 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Advances in Pure Mathematics, 2013, 3, 9-14 | |
| dc.subject (關鍵詞) | Multi-Layer Neural Networks ; Hausdorff Dimension ; Sofic Shift ; Output Space | |
| dc.title (題名) | Hausdorff Dimension of Multi-Layer Neural Networks | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.4236/apm.2013.39A1002 | |
| dc.doi.uri (DOI) | https://doi.org/10.4236/apm.2013.39A1002 | |
