Quantum vs. in Signal Recognition
Ieee Senior Member · 2005
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 hidden units. To demonstrate the capability of in recognition, the signals in a two- dimension non-convex system is simulated. All the experiments are also performed by using the traditional neural network (NN) for a comparison.