Universal Learning Networks with Branch Control

Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata

研究成果: Article査読

抄録

In this paper, Universal Learning Network with Branch Control (ULN with BC) is proposed, which consists of basic networks and branch control networks. The branch control network can be used to determine which branches of the basic network should be used. This determination depends on the inputs or the network flow of the basic network. Therefore, by using the ULN with BC, locally functions distributed networks can be realized depending on the values of the inputs of the network or the information of the network flow. The proposed network is applied to some function approximation problems. The simulation results show that the ULN with BC exhibits better performance than the conventional networks with comparable complexity.

本文言語English
ページ(範囲)125-131
ページ数7
ジャーナルResearch Reports on Information Science and Electrical Engineering of Kyushu University
4
2
出版ステータスPublished - 1999 9月 1
外部発表はい

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 電子工学および電気工学

引用スタイル