线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
本文提出一种微分运算矩阵法，通过切比雪夫级数和最小二乘法辨识线性分布参数系统的参数。
In this paper, a method of operational matrix of differentiation is introduced in the identification of coefficients of linear distributed system by using Chebyshev series and least squares.
采用自由振荡法数值模拟了平头、钝头外形的超声速俯仰振荡时间历程，并应用奇异分解线性最小二乘法辨识稳定性导数，得到动导数随马赫数和攻角非线性变化的规律。
The dynamic derivatives conception is used as the index for the vehicle stability, but it is looked as the function of angle of attack and Mach number to induced nonlinear characteristics.
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