抜粋
In this paper, a multi-branch structure of neural networks is studied to make their size compact. The multi-branch structure has shown improved performance against conventional neural networks. As a result, it has been proved that the number of nodes of networks and the computational cost for training networks can be reduced. In addition, it could be said that proposed multi-branch networks are special cases of higher order neural networks, however, they obtain higher order effect easier without suffering the parameter explosion problem.
| 元の言語 | 英語 |
|---|---|
| ホスト出版物のタイトル | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing |
| ホスト出版物のサブタイトル | Computational Intelligence for the E-Age |
| 編集者 | Jagath C. Rajapakse, Xin Yao, Lipo Wang, Kunihiko Fukushima, Soo-Young Lee |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 243-247 |
| ページ数 | 5 |
| 巻 | 1 |
| ISBN（電子版） | 9810475241, 9789810475246 |
| DOI | |
| 出版物ステータス | 出版済み - 1 1 2002 |
| イベント | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, シンガポール 継続期間: 11 18 2002 → 11 22 2002 |
その他
| その他 | 9th International Conference on Neural Information Processing, ICONIP 2002 |
|---|---|
| 国 | シンガポール |
| 市 | Singapore |
| 期間 | 11/18/02 → 11/22/02 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Signal Processing
フィンガープリント Multi-branch structure of layered neural networks' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。
これを引用
Yamashita, T., Hirasawa, K., Hu, J., & Murata, J. (2002). Multi-branch structure of layered neural networks. ： J. C. Rajapakse, X. Yao, L. Wang, K. Fukushima, & S-Y. Lee (版), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (巻 1, pp. 243-247). [1202170] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1202170