Satellite telemetry data intelligent interpretation method based on BP neural network
A technology of BP neural network and satellite telemetry data, which is applied in the field of satellite testing, can solve problems such as heavy workload and uninterpretable massive data, and achieve the effect of improving model accuracy, meeting real-time requirements, and extending accuracy
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[0020] The present invention provides an intelligent interpretation method of satellite telemetry data based on BP neural network. figure 1 The interpretation steps of the present invention are described in further detail:
[0021] If you want to realize the interpretation of telemetry data, you must first learn to obtain the BP neural network model for the interpretation of telemetry data. The specific learning process of the model is as follows:
[0022] (1) Initialization of BP neural network parameters for interpretation of telemetry data; set the number of network layers to three, the number of units in each layer, the connection weight between each layer and the output thresholds W(k), V(k), θ( k), γ(k); input layer vector: A k =(a 1 ,a 2 ,...,A n ); The expected output vector corresponding to the input layer vector is: Y k =(y 1 ,y 2 ,...,Y q ); The input vector of the middle layer unit is: S k =(s 1 ,s 2 ,...,S p ); The output vector of the middle layer unit is: B k =(b 1 ,...
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