Title :
Quantum NN vs. NN in signal recognition
Author :
Tsai, Xin-Yi ; Chen, Yu-Ju ; Huang, Huang-Chu ; Chuang, Shang-Jen ; Hwang, Rey-Chue
Author_Institution :
Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
In this paper, the signal recognition by using quantum neural network (QNN) is studied and simulated. The signals with fuzziness distributed in the boundary of two different types of signals could be effectively recognized due to the structure of QNN´s hidden units. To demonstrate the capability of QNN in recognition, the signals in a two-dimension (NC2) non-convex system is simulated. All the experiments are also performed by using the traditional neural network (NN) for a comparison.
Keywords :
neural nets; quantum computing; signal detection; 2D nonconvex system; quantum neural network; signal recognition; Fuzzy systems; Information management; Mathematical model; Neural networks; Neurons; Pattern recognition; Signal processing; System identification; Transfer functions; Uncertainty; fuzziness; quantum neural network; signal recognition;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.228
