期刊論文
| 學年 | 84 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 1996-05-01 |
| 作品名稱 | Incremental backpropagation learning networks |
| 作品名稱（其他語言） | |
| 著者 | Fu, Li-min; Hsu, Hui-huang; Principe, Jose C. |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Piscataway: Institute of Electrical and Electronics Engineers (IEEE) |
| 著錄名稱、卷期、頁數 | IEEE Transactions on Neural Networks 7(3), pp.751-761 |
| 摘要 | How to learn new knowledge without forgetting old knowledge is a key issue in designing an incremental-learning neural network. In this paper, we present a new incremental learning method for pattern recognition, called the “incremental backpropagation learning network”, which employs bounded weight modification and structural adaptation learning rules and applies initial knowledge to constrain the learning process. The viability of this approach is demonstrated for classification problems including the iris and the promoter domains |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1045-9227 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | 電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45365 ) |