Research on Aviation Material with Aviation Mishap Prediction Model Based on Neural Network and its BP Algorithm

Xu Sheng Gan; Hua Ping Li; Jing Shun Duanmu

doi:10.4028/www.scientific.net/AMM.540.492

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

Research on Aviation Material with Aviation Mishap Prediction Model Based on Neural Network and its BP Algorithm

Abstract:

In order to reduce the appearance of aviation material mishap, it is important to predict the aviation material mishap for safety management and decision-making body. Considering the advantage of neural network modeling, an aviation material mishap prediction based on neural network and its BP algorithm model is proposed. An actual example on fight mishap 10000-Hour-Rate data of USAF illustrates that the proposed prediction model has an accurate prediction.

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Periodical:

Applied Mechanics and Materials (Volume 540)

Pages:

492-495

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.540.492

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Online since:

April 2014

Authors:

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

Keywords:

Aviation Material Mishap, BP Algorithm, Neural Network (NN), Sigmoid Function

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* - Corresponding Author

References

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