Flight emergency prediction method and device based on LSTM neural network
A neural network, emergency event technology, applied in biological neural network models, aircraft indicating devices, neural architectures, etc., can solve problems such as personnel and property losses, and achieve the effect of ensuring safe execution and strong modeling capabilities
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[0022] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0023] refer to Figure 1-2 In the first aspect of the present invention, a method for predicting flight emergencies based on LSTM neural network is provided, comprising the steps of: S101. Acquiring sample data of historical accident flight records, said sample data including flight equipment data, pilot state data , Meteorological data; S102. Preprocess the sample data of a single flight record in the sample data, and then use MDDM (Maximum Dependency Dimension Reduction Method Algorithm) to reduce its dimension, and map it to a multidimensional vector; S103. The multidimensional vector is used as a sample, and the corresponding flight emergency is used as a label to construct a prediction data set; S104. Divide t...
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