Research of Fuzzy Neural Network Model Based on Quantum Clustering

Author

Sun Jie ; Hao Sheng-nan

Author_Institution

Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan

fYear

2009

fDate

23-25 Jan. 2009

Firstpage

133

Lastpage

136

Abstract

Fuzzy neural network can handle non-linear, complex data, but the structure of model determination is an important and difficult issues identified. More complete results can be made in a short period of time by the optimization network model. To address this issue, this paper presents the fusion of a quantum clustering algorithm and fuzzy c-means clustering algorithm, the fuzzy neural network structure is carried out at different levels data processing. Through the model of mining in complex industrial process, the validity of the model is tested.

Keywords

fuzzy neural nets; fuzzy set theory; pattern clustering; quantum computing; complex industrial process; fuzzy c-means clustering algorithm; fuzzy neural network model; mining model; nonlinear complex data handling; optimization network model; quantum clustering algorithm; Clustering algorithms; Computer networks; Data processing; Educational institutions; Fuzzy control; Fuzzy neural networks; Neural networks; Potential energy; Quantum computing; Wave functions; fuzzy c-means clustering; neural network; quantum clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Conference_Location

Moscow

Print_ISBN

978-0-7695-3543-2

Type

conf

DOI

10.1109/WKDD.2009.193

Filename

4771896