Research on Aviation Material with Unsafe Events Prediction Based on BP Neural Network with PCA Feature Extraction
2014 ◽
Vol 540
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pp. 488-491
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Keyword(s):
In order to better predict the aviation material unsafe events, a BP neural network model based on PCA feature extraction is proposed. Firstly, the training samples of aviation material unsafe events are used to carry out the PCA feature extraction, and then using the extracted basic features, BP neural network model is established. The numerical example shows that, the hybrid model proposed is better than that of alone BP neural network model, and it is effective and feasible to establish the unsafe events model for aviation material.
2021 ◽
Vol 1744
(4)
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pp. 042232
Keyword(s):
Keyword(s):
2010 ◽
Vol 34-35
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pp. 301-305
2017 ◽
Vol 19
(2)
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pp. 878-893
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Keyword(s):
Keyword(s):