Multi-branch structure of layered neural networks

T. Yamashita, K. Hirasawa, Jinglu Hu, Junichi Murata

研究成果: 著書/レポートタイプへの貢献会議での発言

10 引用 (Scopus)

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
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 200211 22 2002

その他

その他9th International Conference on Neural Information Processing, ICONIP 2002
シンガポール
Singapore
期間11/18/0211/22/02

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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  • 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