In this paper, a new process of estimating autocorrelation parameter is given when remedying autocorrelation of error term in regression model.

在消除回归模型误差项的自相关现象的处理中，提出了一种确定自相关参数估计值的新方法。

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Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upper bound of the parameter tracking error is given.

利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性，给出了参数估计误差的上界。

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The result shows that the type of traditional calculation of converted vibration mass has much error when the process parameter is set.

结果显示采用传统方式计算的参振质量对系统进行工艺参数制定时存在较大误差。

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