Research of model of Quantum Learning Vector Quantization Neural Network

Author

Xuan Hou

Author_Institution

Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xian, China

Volume

8

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

3893

Lastpage

3896

Abstract

This paper has been studied in Quantum Learning Vector Quantization Neural Network. The concept of competition and model of competitive network has been studied. It analyses model of Quantum Learning Vector Quantization Neural Network and LVQ algorithm. Quantum Learning Vector Quantization Neural Network is a hybrid neural network and quantum computing theory is used in the Quantum Learning Vector Quantization Neural Network directly to build Quantum Learning Vector Quantization Neural Network. Model of Quantum Learning Vector Quantization Neural Network and Quantum-LVQ algorithms are proposed. In the study of clustering problem, experiments show that Quantum Learning Vector Quantization Neural Network have an advantage over than Learning Vector Quantization Neural Network.

Keywords

learning (artificial intelligence); neural nets; quantum computing; vector quantisation; clustering problem; competitive network; hybrid neural network; quantum computing theory; quantum learning vector quantization neural network model; quantum-LVQ algorithms; Artificial neural networks; Computational modeling; Neurons; Quantum computing; Quantum mechanics; Training; Vector quantization; Artificial Neural Network; Learning Vector Quantization Neural Network; Quantum Learning Vector Quantization Neural Network; Quantum Neural Network; algorithm; competitive network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023910

Filename

6023910