The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中，提出了分别采用这两种方法确定网络权重的算法。
The result demonstrates that the correlated weight matrix must be applied to solving transformation parameters according to least square adjustment.
其结果表明，按最小二乘平差求转换参数时，必须使用相关权阵。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
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