摘要
鉴于模糊神经网络可以充当万能逼近器，以任意精度逼近任何非线性函数，本文用模糊神经网络对气动参数进行高精度拟合。在飞行器轨迹计算中用拟合得到的计算公式计算气动参数，可大大节省计算机时和存贮单元，提高计算精度，仿真实验亦表明了这一方法的有效性和可行性，这在飞行器的轨迹计算中是值得采用和推广的方法。
It is approved that fuzzy neural network can be used as an universal approximator, it can approximate any nonlinear function at arbitrary precision. This paper uses it to make a high-precise fit of aerodynamic parameters. If the formula formed by fitting is used to calculate aircraft's flight trajectory, a great deal of storage unit and machine-time are saved. Precision can be improved in this way. It is a good method which is worthy of promoting and popularizing in calculating of aircraft's flight trajectory. The validity of this method has been demonstrated by a numerical simulation.
出处
《系统仿真学报》
EI
CAS
CSCD
2001年第4期488-490,520,共4页
Journal of System Simulation
