Optimization the Layout of Airport Noise Monitoring Points Based on Gray Dynamic Neural Network Model

Jian Li Ding; Zhao Hui Yang

doi:10.4028/www.scientific.net/AMR.459.615

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Optimization the Layout of Airport Noise...

Optimization the Layout of Airport Noise Monitoring Points Based on Gray Dynamic Neural Network Model

Abstract:

The key of airport noise monitoring is the appropriate layout of airport noise monitoring points. In this paper, we bring out an optimization algorithm based on the advantages of gray dynamic neural network model in the network training and fitting operations. We use it with the airport noise prediction contour map from INM software to optimize the present layout of airport noise monitoring points in a large domestic hub airport. Experiment results show that the experimental layout of monitoring points program can reflect the distribution of airport noise.

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Periodical:

Advanced Materials Research (Volume 459)

Pages:

615-619

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.615

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Online since:

January 2012

Authors:

Jian Li Ding, Zhao Hui Yang

Keywords:

Airport Noise Monitoring, Gray Dynamic Neural Network, INM Noise Prediction, Optimization of the Monitoring Points' Layout

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