测绘通报 ›› 2019, Vol. 0 ›› Issue (1): 85-88.doi: 10.13474/j.cnki.11-2246.2019.0017

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The research and application of quantum particle swarm BP neural network in GNSS elevation transformation

HAN Hongchao   

  1. Mapping Design Academy of Ningbo, Ningbo 315100, China
  • Received:2018-04-12 Revised:2018-09-14 Online:2019-01-25 Published:2019-02-14

Abstract: In this paper, a GNSS elevation transformation method based on quantum particle swarm neural network (QPSO-BP) model is proposed. By establishing the three level QPSO-BP mathematical model between GNSS point plane coordinates and normal height, the GNSS elevation transformation is realized. The experimental results show that the method has high global search ability, strong robustness, high fitting and prediction accuracy. This method has good effectiveness and advancement in GNSS elevation transformation.

Key words: quantum particle swarm, BP neural network, GNSS elevation transformation

CLC Number: