Research on Aviation Material with Unsafe Events Prediction Based on BP Neural Network with PCA Feature Extraction

Xu Sheng Gan; Hua Ping Li; Jing Shun Duanmu

doi:10.4028/www.scientific.net/AMM.540.488

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 540Research on Aviation Material with Unsafe Events...

Research on Aviation Material with Unsafe Events Prediction Based on BP Neural Network with PCA Feature Extraction

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 540)

Pages:

488-491

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.540.488

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Online since:

April 2014

Authors:

Xu Sheng Gan*, Hua Ping Li, Jing Shun Duanmu

Keywords:

Aviation Material, Feature Extraction, Neural Network (NN), Principal Component Analysis (PCA), Unsafe Events

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* - Corresponding Author

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