Abstract
The paper presents a real - time online neural network algorithm for space detector health prediction. This method is suitable for embedded space detector, avoiding the disposal scheme that can not be processed online and can only be remedied afterwards, and adopting embedded real-time neural network model with preserved performance after compression. It consists of five parts: data input simulation, data set training model, prediction model, combination model and health degree calculation.
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