Object oriented learning network and its applications

Jinglu Hu, Kotaro Hirasawa

研究成果: Paper査読

抄録

This paper introduces an scheme to construct object oriented learning networks (OOLN). The idea is to construct a learning network with two levels. The high-level network is built based on application specific prior knowledge such that it has a structure favorable to the applications. And the low-level one consists of a class of conventional neural networks. The OOLN is expected to have both application flexibility and representation flexibility.

本文言語English
ページ1298-1301
ページ数4
出版ステータスPublished - 1999 12 1
外部発表はい
イベントInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
継続期間: 1999 7 101999 7 16

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA
Period99/7/1099/7/16

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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