基于BP神经网络的飞行训练品质评估

doi:10.7527/S1000-6893.2017.721513

Abstract

Abstract:

To overcome the existing shortage of the model for flight training assessment, we propose in this paper the method that makes use of pilot physiological signals and flight parameters to construct the evaluation system based on the BP neural network. The influence of the input indexes on the grading result is calculated according to the weight distributions of the trained network. The reliability of this model is tested by analysis of the numerical example. The validation result shows that the result obtained according to the model proposed is consistent with the sample results of expert evaluation. The proposed model can effectively combine pilot physiological signals with flight training parameters to evaluate the quality of pilot training.

Key words: flight training, quality assessment model, BP neural network, weight value of indexes, physiological signals

CLC Number:

V217
U8

YAO Yusheng, XU Kaijun. Quality assessment of flight training based on BP neural network[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(S1): 721513-721513.

References

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Quality assessment of flight training based on BP neural network

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