會議論文
| 學年 | 93 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2005-05-28 |
| 作品名稱 | A Novel Dynamic Structural Neural Network with Nruro-Regeneration and Neuro-Degeneration |
| 作品名稱（其他語言） | |
| 著者 | Hsiao, Ying-Tung; Chuang, Cheng-Long; Jiang, Joe-Air |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 會議名稱 | 第九屆IEEE細胞神經網路及其應用國際研討會=The 9th IEEE International Workshop on Cellular Neural Networks and Their Applications |
| 會議地點 | 新北市, 臺灣 |
| 摘要 | This paper presents a novel dynamic structural neural network (DSNN) and a learning algorithm for training DSNN. The performance of a neural network system depends on several factors. In that, the architecture of a neural network plays an important role. The objective of the developing DSNN is to avoid trial-and-error process for designing a neural network system. The architecture of DSNN consists of a three-dimensional set of neurons with input/output nodes and connection weights. Designers can define the maximum connection number of each neuron. Moreover, designers can manually deploy neurons in a virtual 3-D space, or randomly generate the system structure by the proposed learning algorithm. This work also develops an automatic restructuring algorithm integrated in the proposed learning algorithm to improve the system performance. Due to the novel dynamic structure of DSNN and the restructuring algorithm, the design of DSNN is fast and convenient. Furthermore, DSNN is implemented in C++ with man-machine interactive procedures and tested on many cases with promising results. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20050528~20050530 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 第九屆IEEE細胞神經網路及其應用國際研討會論文集=Proceedings of the 9th IEEE International Workshop on Cellular Neural Networks and Their Applications，頁41531 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96010 ) |