An online identification algorithm was constructed using the least squares method and an RBF neuro network.
针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
Compute the distance from each data sample to the cluster center (our randomly selected data row), using the least-squares method of distance calculation.
计算从每个数据样例到群集中心(我们随意选中的数据行)的距离，使用距离计算的最小平方法。
The method doesn't need to input the far - end equivalent impedance, while the solution is obtained by using the method of least squares, which theoretically ensures high accuracy.
该方法不需要输入对端系统等值阻抗，解算中运用了最小二乘技术，从理论上保证了该测距算法具有较高的测距精度。
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