posted on 2009-01-27, 11:11authored byYingjie Yang, Chris J. Hinde, David Gillingwater
Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. This paper presents an investigation in simulating airport noise using artificial neural networks. The results show that it is possible to establish a simple neural network model with monitored data for a specific airport and specific aircraft under local conditions.
History
School
Science
Department
Computer Science
Citation
YANG, Y., HINDE, C.J. and GILLINGWATER, D., 2008. Airport noise simulation using neural networks. IEEE International Joint Conference on Neural Networks. IJCNN 2008. (IEEE World Congress on Computational Intelligence), Hong Kong, 1-8 June, pp. 1917-1923