Title :
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
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;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.193
