The non-stationary signal prediction by using quantum NN
Chang-Der Lee, Yu‐Ju Chen, Huang‐Chu Huang, Rey‐Chue Hwang, Gwo–Ruey Yu · 2005
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.