Object oriented learning network and its applications

Takayuki Furuzuki, Kotaro Hirasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Place of PublicationUnited States
PublisherIEEE
Pages1298-1301
Number of pages4
Volume2
Publication statusPublished - 1999
Externally publishedYes
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

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ASJC Scopus subject areas

  • Software

Cite this

Furuzuki, T., & Hirasawa, K. (1999). Object oriented learning network and its applications. In Proceedings of the International Joint Conference on Neural Networks (Vol. 2, pp. 1298-1301). IEEE.