Object oriented learning network and its applications

Jinglu Hu, Kotaro Hirasawa

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Pages1298-1301
Number of pages4
Publication statusPublished - 1999 Dec 1
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 1999 Jul 101999 Jul 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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    Hu, J., & Hirasawa, K. (1999). Object oriented learning network and its applications. 1298-1301. Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA, .