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基于神经网络的飞机主要参数估算方法
Preliminary Sizing of Aircraft Based on Neural Network Approach
【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 1 0 %之内。
【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.
【关键词】 飞机设计;
神经网络;
飞机主要参数;
【Key words】 aircraft design; neural network; preliminary sizing of aircraft;
【Key words】 aircraft design; neural network; preliminary sizing of aircraft;
【基金】 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
- 【文献出处】 南京航空航天大学学报 ,Journal of Nanjing University of Aeronautics & Astronautics , 编辑部邮箱 ,2003年01期
- 【分类号】V221.2
- 【被引频次】14
- 【下载频次】284