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。
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。
应用推荐