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

本程序使用GMDH网络对交通的流量进行预测，输入的数据为连续n天的m组流量数据。 输出数据为第n+1天的m组的流量的预测数据。 每个神经元的学习方式为widrow-hoff 在学习过程中，每一层否挑选15个优秀的神经元保留到下一层(This procedure uses GMDH network traffic flow prediction, the input data for the continuous n days of M group traffic data. The ou