Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/73493| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資管系 | |
| dc.creator | Tsaih, Ray;Lin, Chih-Chung | |
| dc.date | 2004 | |
| dc.date.accessioned | 2015-02-12T04:23:52Z | - |
| dc.date.available | 2015-02-12T04:23:52Z | - |
| dc.date.issued | 2015-02-12T04:23:52Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/73493 | - |
| dc.description.abstract | A mathematical study of the layered feed-forward neural networks is proposed here for identifying the rules suggested in the network. The mathematical study, not a data analysis, is proposed for identifying the premise association with each rule. It, hopefully, can be used further to deal with the predicament of ANN being a black box. | |
| dc.format.extent | 181846 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation | Advances in Neural Networks – ISNN 2004 Lecture Notes in Computer Science,3173,377-382 | |
| dc.title | The Layered Feed-Forward Neural Networks and Its Rule Extraction | |
| dc.type | article | en |
| item.cerifentitytype | Publications | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| item.openairetype | article | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | 期刊論文 | |
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