Based on adaptive LMS algorithms, the on line BP algorithm with fast convergence speed is presented.

在自适应LMS算法基础上，提出了在线BP训练算法、收敛速度快。

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Compared with the recursive extended least squares algorithms, the proposed two algorithms have fast convergence rates and can produce highly accurate parameter estimation.

与常规递推增广最小二乘算法相比，提出的方法具有更快的收敛速度，能产生更高精度的参数估计。

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Compared with the recursive extended least squares algorithms, the proposed two algorithms have fast convergence rates and can produce highly accurate parameter estimation.

与常规递推增广最小二乘算法相比，提出的方法具有更快的收敛速度，能产生更高精度的参数估计。

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