中文说明：全称 Least meansquare 算法。中文是最小均方算法。感知器和自适应线性元件在历史上几乎是同时提出的，并且两者在对权值的调整的算法非常相似。它们都是基于纠错学习规则的学习算法。感知器算法存在如下问题：不能推广到一般的前向网络中；函数不是线性可分时，得不出任何结果。而由美国斯坦福大学的Widrow 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
English Description：
Name Least meansquare algorithm. Chinese is the algorithm. Sensors and adaptive linear element in history almost simultaneously raised, and the resulting in adjustments to weighting algorithms are very similar. They are learning algorithm based on error-correcting learning rule. Perceptron algorithm has the following problems: cannot be extended to General network; function is not linearly separable, without any outcome. United States Stanford University Widrow and Hoff in the study made by the theory of Adaptive LMS algorithm, due to its easy and quickly got used, become the standard algorithms of adaptive filtering.