A method of pattern recognition based upon synthetic technology of fuzzy logic and neural network

Author

Chen Yong ; Sheng Minghao ; He Yongbao

Author_Institution

Dept. of Comput. Sci., Fudan Univ., Shanghai, China

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

815

Abstract

A method which uses the synthesis of fuzzy logic and neural networks is provided to solve 2D pattern recognition with incomplete information. When the object set is confirmed, we use a neural network detector to discover the edges and corners. After we have obtained that information, we get the conclusion from the fuzzy reasoning. Computer simulation shows that, although there remain a lot of improvements to make, the synthetic method of using neural networks and fuzzy logic is effective to solve such problems dealing with partially invisible objects. The method can be introduced to solve similar pattern recognition problems in 3D images.<>

Keywords

edge detection; fuzzy logic; neural nets; uncertainty handling; virtual machines; 2D pattern recognition; 3D images; computer simulation; corner detection; edge detection; fuzzy logic; fuzzy reasoning; incomplete information; neural network detector; object set confirmation; partially invisible objects; synthetic technology; Artificial intelligence; Data processing; Detectors; Fuzzy logic; Image edge detection; Image processing; Image recognition; Neural networks; Object detection; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320138

Filename

320138