Patterns and symbols for solving ill-defined problems

Author

Furuhashi, Takeshi ; Hattori, Yoichiro

Author_Institution

Dept. of Inf. Electron., Nagoya Univ., Japan

fYear

1997

fDate

21-24 Sep 1997

Firstpage

239

Lastpage

244

Abstract

The paper presents a novel network for inference using patterns and symbols. The meanings of patterns and symbols are also given. The network consists of a self organizing network and a two layered associative memory network having a pattern layer and a symbol layer. The proposed network is an implementation of a new framework for solving ill defined problems using patterns and symbols. Candidates for solution of inputted image are generated by the network through associations from a pattern to another pattern, from a symbol to another symbol, and inference from patterns to symbols and vice versa

Keywords

content-addressable storage; fuzzy set theory; inference mechanisms; pattern recognition; problem solving; self-organising feature maps; uncertainty handling; ill defined problem solving; inference; inputted image; pattern layer; self organizing network; symbol layer; two layered associative memory network; Associative memory; Data mining; Feature extraction; Fuzzy sets; Image recognition; Marine animals; Self-organizing networks; Shape; Test pattern generators; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American

Conference_Location

Syracuse, NY

Print_ISBN

0-7803-4078-7

Type

conf

DOI

10.1109/NAFIPS.1997.624044

Filename

624044