| 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.creator (作者) | Huang, Nai-Zhu | |
| dc.date (日期) | 2019-06 | |
| dc.date.accessioned | 28-Apr-2020 13:55:03 (UTC+8) | - |
| dc.date.available | 28-Apr-2020 13:55:03 (UTC+8) | - |
| dc.date.issued (上傳時間) | 28-Apr-2020 13:55:03 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/129557 | - |
| dc.description.abstract (摘要) | It has been demonstrated that excitable media with a tree structure performed better than other network topologies, it is natural to consider neural networks defined on Cayley trees. The investigation of a symbolic space called tree-shift of finite type is important when it comes to the discussion of the equilibrium solutions of neural networks on Cayley trees. Entropy is a frequently used invariant for measuring the complexity of a system, and constant entropy for an open set of coupling weights between neurons means that the specific network is stable. This paper gives a complete characterization for entropy spectrum of neural networks on Cayley trees and reveals whether the entropy bifurcates when the coupling weights change. | |
| dc.format.extent | 129 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | International Journal of Bifurcation and Chaos, 30:1 | |
| dc.subject (關鍵詞) | Neural networks ; learning problem ; Cayley tree ; separation property ; entropy spectrum ; minimal entropy | |
| dc.title (題名) | Entropy bifurcation of neural networks on Cayley trees | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1142/S0218127420500157 | |
| dc.doi.uri (DOI) | https://doi.org/10.1142/S0218127420500157 | |
