DocumentCode
2682146
Title
The non-stationary signal prediction by using quantum NN
Author
Lee, Chang-Der ; Chen, Yu-Ju ; Huang, Huang-Chu ; Hwang, Rey-Chue ; Yu, Gwo-Ruey
Author_Institution
Dept. Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
Volume
4
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
3291
Abstract
In this paper, the non-stationary power signal prediction by using quantum neural network (QNN) is proposed. The signals with fuzziness are expected to be classified clearly for enhancing the learning efficiency of neural network due to the hidden units with various graded levels in QNN structure. For a comparison, all experiments are also performed using the conventional neural network (CNN) structure.
Keywords
learning (artificial intelligence); neural nets; prediction theory; quantum computing; signal detection; conventional neural network structure; learning algorithm; nonstationary signal prediction; quantum neural network; Cellular neural networks; Engineering management; Industrial engineering; Neural networks; Predictive models; Signal mapping; Signal processing; Signal processing algorithms; System identification; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400848
Filename
1400848
Link To Document