DocumentCode :
3369802
Title :
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
Link To Document :
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