Information-Applied Technology in Neural Network Prediction Model of Aviation Unsafe Event Based on PSO Algorithm with Gradient Acceleration

Xu Sheng Gan; Can Yang; Jing Shun Duanmu

doi:10.4028/www.scientific.net/AMR.952.303

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 952Information-Applied Technology in Neural Network...

Information-Applied Technology in Neural Network Prediction Model of Aviation Unsafe Event Based on PSO Algorithm with Gradient Acceleration

Abstract:

To improve the level of aviation safety management and decision-making, an aviation unsafe event model based on neural network trained by an improved Particle Swarm Optimization (PSO) algorithm is proposed. First a gradient acceleration idea is introduced in standard PSO algorithm to improve the search efficiency, and then the improved PSO algorithm is used to optimize the parameters of neural network, finishing the training of model. An actual example on unsafe event data of an airline shows that the proposed method can achieve a good prediction effect.

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Periodical:

Advanced Materials Research (Volume 952)

Pages:

303-306

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.952.303

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Online since:

May 2014

Authors:

Xu Sheng Gan*, Can Yang, Jing Shun Duanmu

Keywords:

Aviation Unsafe Event, Gradient Acceleration, Neural Network (NN), Particle Swarm Optimization (PSO)

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References

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