南京航空航天大学学报（英文版）2021，Vol.38Issue(z1)：32-39,8.
基于改进神经网络的机场航空噪声预测
Airport Aviation Noise Prediction Based on an Optimized Neural Network
摘要
Abstract
In order to alleviate noise pollution and improve the sustainability of airport operation,it is of great significance to develop an effective method to predict airport aviation noise. A three-layer neural network is constructed to gain computational simplicity and execution economy. With the preferred node number and transfer functions obtained in comparative tests,the constructed network is further optimized through the genetic algorithm for performance improvements in prediction. Results show that the proposed model in this paper is superior in accuracy and stability for airport aviation noise prediction,contributing to the assessment of future environmental impact and further improvement of operational sustainability for civil airports.关键词
噪声预测/神经网络/遗传算法/可持续运输Key words
noise prediction/neural network/genetic algorithm/sustainable air transport分类
资源环境引用本文复制引用
马丽娜,田勇,吴孝泳..基于改进神经网络的机场航空噪声预测[J].南京航空航天大学学报（英文版）,2021,38(z1):32-39,8.基金项目
The work was supported by the Na?tional Natural Science Foundation of China(No.61671237),the Foundation of State Key Laboratory of Air Traffic Man?agement System and Technology(No.SKLATM202003),and the Fundamental Research Funds for Graduates of Nan?jing University of Aeronautics and Astronautics(No.kfjj20200735). （No.61671237）
