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基于神经网络的飞机主要参数估算方法
引用本文:徐惠民,余雄庆,薛飞.基于神经网络的飞机主要参数估算方法[J].南京航空航天大学学报,2003,35(1):48-52.
作者姓名:徐惠民  余雄庆  薛飞
作者单位:南京航空航天大学航空宇航学院,南京,210016
基金项目:南京航空航天大学青年科学基金 ( S0 1 1 1 -0 1 1 )资助项目
摘    要:根据飞机设计要求来选择主要参数往往涉及许多不确定的因素。本文基于多层神经网络计算模型,提出了一种新的飞机主要参数的估算方法,并给出了实现这种方法的详细步骤。将该方法应用于喷气支线飞机和喷气公务机主要参数的估算,测试结果表明估算误差均在10%之内。

关 键 词:飞机设计  神经网络  飞机主要参数
文章编号:1005-2615(2003)01-0048-05
修稿时间:2002年7月3日

Preliminary Sizing of Aircraft Based on Neural Network Approach
Xu Huimin,Yu Xiongqing,Xue Fei College of Aerospace Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing,China.Preliminary Sizing of Aircraft Based on Neural Network Approach[J].Journal of Nanjing University of Aeronautics & Astronautics,2003,35(1):48-52.
Authors:Xu Huimin  Yu Xiongqing  Xue Fei College of Aerospace Engineering  Nanjing University of Aeronautics & Astronautics  Nanjing    China
Institution:Xu Huimin,Yu Xiongqing,Xue Fei College of Aerospace Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing,210016,China
Abstract:The preliminary sizing of aircraft is a difficult task due to the uncertainties involved in the process of the sizing. A new approach is proposed for the preliminary sizing of aircraft based on the computational model of neural network. The approach is applied to the preliminary sizing of regional transport jets and business jets. Experimental results show that the estimation error for both cases is less than 10%. This new approach is an effective way to the preliminary sizing of aircraft.
Keywords:aircraft design  neural network  preliminary sizing of aircraft
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