Quantum NN vs. NN in Signal Recognition

  • Authors:
  • Xin-Yi Tsai;Huang-Chu Huang;Shang-Jen Chuang

  • Affiliations:
  • I-Shou University;National Kaohsiung Marine University;National Kaohsiung Marine University

  • Venue:
  • ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
  • Year:
  • 2005

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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.