Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery

Wang Xiang, Feng Li, Jiaxu Wang, Baoping Tang. Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery. Neurocomputing, 313:85-95, 2018. [doi]

@article{XiangLWT18,
  title = {Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery},
  author = {Wang Xiang and Feng Li and Jiaxu Wang and Baoping Tang},
  year = {2018},
  doi = {10.1016/j.neucom.2018.06.012},
  url = {https://doi.org/10.1016/j.neucom.2018.06.012},
  researchr = {https://researchr.org/publication/XiangLWT18},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {313},
  pages = {85-95},
}