另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
总体最小二乘方法(TLS)是近年来出现的一种较新的平差方法，与传统最小二乘方法(LS)不同的是，TLS可以同时顾及系数矩阵及观测值的误差。
The total least squares (TLS) are a new method in adjustment in recent years. Different from the least squares (LS), the errors in coefficient matrix and observations are considered simultaneously.
总体最小二乘方法(TLS)是近年来出现的一种较新的平差方法，与传统最小二乘方法(LS)不同的是，TLS可以同时顾及系数矩阵及观测值的误差。
The total least squares (TLS) are a new method in adjustment in recent years. Different from the least squares (LS), the errors in coefficient matrix and observations are considered simultaneously.
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