Title :
Patterns and symbols for solving ill-defined problems
Author :
Furuhashi, Takeshi ; Hattori, Yoichiro
Author_Institution :
Dept. of Inf. Electron., Nagoya Univ., Japan
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;
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
DOI :
10.1109/NAFIPS.1997.624044
