Intrusion Detection Engineering Management Based on Optimization of BP Neural Network

Jian Hua Zhao

doi:10.4028/www.scientific.net/AMM.416-417.1228

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Intrusion Detection Engineering Management Based...

Intrusion Detection Engineering Management Based on Optimization of BP Neural Network

Abstract:

In order to short the modelling time of BP neural network, this paper designs a kind of genetic algorithm to optimize it. By encoding the individual components, initializing the number of populations, and designing proper fitness function, a binary coding genetic algorithm is provided for BP neural network. And it is used to optimize input variables of BP neural network and reduce its dimension. The experiment is carried out based on KDD Cup 99 data set. The results show that the optimized model has shorter modelling time.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

1228-1232

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.1228

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Online since:

September 2013

Authors:

Jian Hua Zhao

Keywords:

BP Neural Network (BPNN), Dimension Reduction, Genetic Algorithm (GA)

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References

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