A New Algorithm of Pattern Recognition Based on RBF Neural Network and Monkey-King Genetic Algorithm

Author

Yin, Ximing ; Yan, Ying

Author_Institution

Basic Dept., Chengdu Textile Coll., Chengdu

Volume

1

fYear

2009

fDate

7-8 March 2009

Firstpage

1047

Lastpage

1050

Abstract

A new algorithm of pattern recognition based on RBF neural network and monkey-king genetic algorithm (MK-RBFNN) is prsented. The algorithm includes two parts. The first parts is that Monkey-King genetic algorithm is introduced to determine the initial positions and number of the hidden layer centers in RBF network. The second part is to set up the RBF neural network to do pattern recognition by learning and training the input sample data. Finally, experiments are implemented on datasets as Iris and WINES, which shows that the proposed algorithm has higher recognition ability compared with the conventional methods.

Keywords

genetic algorithms; pattern recognition; radial basis function networks; RBF neural network; datasets; monkey-king genetic algorithm; pattern recognition; Clustering algorithms; Computer science education; Educational technology; Feedforward neural networks; Gaussian processes; Genetic algorithms; Genetic mutations; Neural networks; Pattern recognition; Radial basis function networks; Mongkey-King; RBF; genetic algorithm; neural network; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.239

Filename

4958943