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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400848
