基于LSTM的飞行数据挖掘模型构建方法

doi:10.7527/S1000-6893.2021.25800

Abstract

Abstract: Based on Long Short Time Memory (LSTM) model, a method of constructing the flight history data mining model, which can automatically extract the valuable target data in flight data is proposed. First, to obtain the data to be detected by sliding window method. Then, to train the pre-made training sample data into the constructed LSTM model to get the data mining model. And finally, to model the pattern recognition of the detected data into the trained LSTM model. The results show that this method of constructing flight data mining model has high generalization degree, and can be used to mine different kinds of target data. The result also show that the recognition rate has high engineering application value.

Key words: LSTM, flight history data, data mining, pattern recognition, model construction

CLC Number:

V249.1

WANG Zhigang, WANG Yeguang, YANG Ning, MI Yufeng, QU Xiaolei. Construction method of flight data mining model based on LSTM[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(8): 525800-525800.

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Construction method of flight data mining model based on LSTM

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