A study of functions distribution of neural networks

Q. Xiong*, K. Hirasawa, J. Hu, J. Murata

*この研究の対応する著者

研究成果査読

抄録

In this paper, Universal Learning Networks with Branch Control of Relative Strength (ULNs with BR) is studied, which consists of basic networks and branch control networks. The branch control network can be used to determine which intermediate nodes of the basic network should be connected to the output node with a coefficient of relative strength ranging from zero to one. This determination will adjust the outputs of the intermediate nodes of the basic network. Therefore, by using ULNs with BC, locally functions distributed networks can be realized depending on the values of the inputs of the network. ULNs with BR is applied to a two-spirals problem. The simulation results show that ULNs with BC exhibits better performance than the conventional networks with comparable complexity.

本文言語English
ページ2361-2367
ページ数7
出版ステータスPublished - 2001 1 1
外部発表はい
イベントInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
継続期間: 2001 7 152001 7 19

Conference

ConferenceInternational Joint Conference on Neural Networks (IJCNN'01)
国/地域United States
CityWashington, DC
Period01/7/1501/7/19

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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