Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/129557
DC Field | Value | Language |
---|---|---|
dc.contributor | 應數系 | |
dc.creator | 班榮超 | |
dc.creator | Ban, Jung-Chao | |
dc.creator | Chang, Chih-Hung | |
dc.creator | Huang, Nai-Zhu | |
dc.date | 2019-06 | |
dc.date.accessioned | 2020-04-28T05:55:03Z | - |
dc.date.available | 2020-04-28T05:55:03Z | - |
dc.date.issued | 2020-04-28T05:55:03Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/129557 | - |
dc.description.abstract | 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 | International Journal of Bifurcation and Chaos, 30:1 | |
dc.subject | Neural networks ; learning problem ; Cayley tree ; separation property ; entropy spectrum ; minimal entropy | |
dc.title | Entropy bifurcation of neural networks on Cayley trees | |
dc.type | article | |
dc.identifier.doi | 10.1142/S0218127420500157 | |
dc.doi.uri | https://doi.org/10.1142/S0218127420500157 | |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | restricted | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
index.html | 129 B | HTML2 | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.