| 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) | 2008-11 | - |
| dc.date.accessioned | 22-Jun-2020 13:41:53 (UTC+8) | - |
| dc.date.available | 22-Jun-2020 13:41:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Jun-2020 13:41:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/130197 | - |
| dc.description.abstract (摘要) | This investigation elucidates the dense entropy of two-dimensional inhomogeneous cellular neural networks (ICNN) with/without input. It is strongly related to the learning problem (or inverse problem); the necessary and sufficient conditions for the admissibility of local patterns must be characterized. For ICNN with/without input, the entropy function is dense in [0, log 2] with respect to the parameter space and the radius of the interacting cells, indicating that, in some sense, ICNN exhibit a wide range of phenomena. | - |
| dc.format.extent | 314063 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | International Journal of Bifurcation and Chaos, Vol.18, No.11, pp.3221-3231 | - |
| dc.subject (關鍵詞) | Entropy ; learning problem ; ICNN | - |
| dc.title (題名) | On the dense entropy of two-dimensional inhomogeneous cellular neural networks | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.1142/S0218127408022378 | - |
| dc.doi.uri (DOI) | https://doi.org/10.1142/S0218127408022378 | - |
