Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 林松山 | en_US |
| dc.contributor.author | LIN SONG-SUN | en_US |
| dc.date.accessioned | 2014-12-13T10:38:08Z | - |
| dc.date.available | 2014-12-13T10:38:08Z | - |
| dc.date.issued | 1998 | en_US |
| dc.identifier.govdoc | NSC87-2115-M009-016 | zh_TW |
| dc.identifier.uri | http://hdl.handle.net/11536/95093 | - |
| dc.identifier.uri | https://www.grb.gov.tw/search/planDetail?id=359858&docId=64375 | en_US |
| dc.description.abstract | 本計畫主要研究對一般 的matrix,如何分割參數空間 ,使得在同一區的參數,都可以有同樣的pattern,進而再計算每一區所能有pattern的spatial entropy,以決定其complexity並建立完整的軟體以作為研究其動態行為之用。 | zh_TW |
| dc.description.sponsorship | 行政院國家科學委員會 | zh_TW |
| dc.language.iso | zh_TW | en_US |
| dc.subject | 細胞型神經網路 | zh_TW |
| dc.subject | 類神經網路 | zh_TW |
| dc.subject | 模板 | zh_TW |
| dc.subject | 模型 | zh_TW |
| dc.subject | 空間熵 | zh_TW |
| dc.subject | 複雜度 | zh_TW |
| dc.subject | Cellular neural network (CCN) | en_US |
| dc.subject | Neural Network | en_US |
| dc.subject | Template | en_US |
| dc.subject | Pattern | en_US |
| dc.subject | Spatial entropy | en_US |
| dc.subject | Complexity | en_US |
| dc.title | 細胞神經網路模型的數學研究---子計畫一：CNN理論一般模板所成的模型(I) | zh_TW |
| dc.title | Patterns for General Template in CNN Theory(I) | en_US |
| dc.type | Plan | en_US |
| dc.contributor.department | 交通大學應用數學系 | zh_TW |
| Appears in Collections: | Research Plans | |
