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1·Methods to establish an appropriate error criterion are presented.

同时还提出确定一种适当的误差标准的方法。

2·In addition, the Nonlinear ADF is further optimized using Minimum Classification Error criterion.

同时，基于最小分类错误准则对该函数进行了优化。

3·The estimators, m and b, that satisfy the least-squared-error criterion can be found in two basic ways.

可以用两种基本方法来找到满足最小方差法的估计值m和b。

4·WELCH(1983) has given a mean squared error criterion for optimal design of single-response linear model.

WELCH（1983）给出了单响应线性模型均方误差准则下的最优试验设计。

5·This paper discusses the design method of FIR digital filters under the weighted least-squares error criterion.

提出了一种基于加权最大误差最小化准则的线性规划方法来设计可变带宽线性相位FIR滤波器。

6·On this basis, a design method of an optimal vector compandor with least mean square error criterion is derived.

本文由此出发，导出在最小均方误差意义下的最佳矢量压扩量化设计。

7·This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.

提出了一种基于最小分类错误准则的概率神经网络的训练算法。

8·The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.

借用打折最小平方(dls)原理构建了基于误差平方准则的DLS R BF网络的学习算法。

9·Estimation of GM (1, 1) model parameter usually adopts the least square criterion, but test of model precision often USES average relative error criterion.

估计GM(1,1)模型中的参数通常采用最小二乘准则，而在模型精度检验时又常采用平均相对误差。

10·Using a least-squared-error criterion to determine the line of best fit involves finding estimates of m and b that minimize the squared error of prediction.

使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的 m和 b的估计值。