Object oriented learning network and its applications

Jinglu Hu*, Kotaro Hirasawa

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


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
Number of pages4
Publication statusPublished - 1999
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 1999 Jul 101999 Jul 16


OtherInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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