Universal Learning Networks with Branch Control

Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)125-131
Number of pages7
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Issue number2
Publication statusPublished - Sept 1999

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


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