Object oriented learning network and its applications

Jinglu Hu; Kotaro Hirasawa

Object oriented learning network and its applications

Jinglu Hu^*, Kotaro Hirasawa

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	1298-1301
Number of pages	4
Publication status	Published - 1999
Externally published	Yes
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 1999 Jul 10 → 1999 Jul 16

Other

Other	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	99/7/10 → 99/7/16

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "Object oriented learning network and its applications",

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.",

author = "Jinglu Hu and Kotaro Hirasawa",

year = "1999",

language = "English",

pages = "1298--1301",

note = "International Joint Conference on Neural Networks (IJCNN'99) ; Conference date: 10-07-1999 Through 16-07-1999",

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AU - Hu, Jinglu

AU - Hirasawa, Kotaro

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:0033334208

SP - 1298

EP - 1301

T2 - International Joint Conference on Neural Networks (IJCNN'99)

Y2 - 10 July 1999 through 16 July 1999

ER -

Object oriented learning network and its applications

Abstract

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ASJC Scopus subject areas

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