文件名称:Widrow-Hoff-Training-Method
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The WH class is an implementation of the Widrow-Hoff.
The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the WH tries to move in the direction in which the loss is descreasing the fastest.
The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the WH tries to move in the direction in which the loss is descreasing the fastest.
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Widrow-Hoff Training Method.pdf
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