Genetic granular cognitive fuzzy neural networks and human brains for pattern recognition

Author

Li, Jun ; Barrett, Natasha ; Zhang, Yan-Qing ; Washburn, David A.

Author_Institution

Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA

Volume

1

fYear

2005

fDate

25-27 July 2005

Firstpage

172

Abstract

Biological neural networks in the human brain can recognize different patterns with noise by the unknown biologically cognitive pattern recognition method. Since the human brain consists of biological neural networks that are the major components performing pattern recognition, it is very interesting and very important to investigate how the biological neural networks and the artificial neural networks recognize different patterns. A new genetic granular cognitive fuzzy neural network based on granular computing, soft computing and cognitive science is used in a pattern recognition problem to compare human brains with the biological neural networks. The hybrid genetic forward-wave-backward-wave learning algorithm is used to enhance learning quality. Both pattern recognition results generated by human persons and the genetic granular cognitive fuzzy neural network are analyzed in terms of computer science and cognitive science.

Keywords

brain; cognition; cognitive systems; fuzzy logic; fuzzy neural nets; fuzzy systems; genetic algorithms; learning (artificial intelligence); pattern recognition; psychology; artificial neural network; biological neural network; cognitive science; computer science; forward-wave-backward-wave learning algorithm; fuzzy neural network; genetic algorithm; granular computing; human brain; pattern recognition; soft computing; Artificial neural networks; Biological neural networks; Biology computing; Cognitive science; Computer networks; Fuzzy neural networks; Genetics; Humans; Pattern analysis; Pattern recognition; cognitive science; fuzzy logic; genetic algorithms; granular computing; neural networks; pattern recognition; psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2005 IEEE International Conference on

Print_ISBN

0-7803-9017-2

Type

conf

DOI

10.1109/GRC.2005.1547260

Filename

1547260