Then we explain basic theory of wiener filter and basic structure model of adaptive filter, and combine the method of steepest descent to deduce the LMS.
然后系统阐述了基本维纳滤波原理和自适应滤波器的基本结构模型，接着在此基础上结合最陡下降法引出LMS算法。
Then modified steepest descent method which is a new LMS algorithm of adaptive filters is presented , This method is a simple and effective algorithm to solve optimum coefficient .
然后提出了一种新的LMS算法——改进的最陡下降法，该算法正是求最佳权矢量的一个简单而有效的算法。
By steepest descent rule, a new method of selecting cutting plane equation has been given.
用最速下降规则，给出了选择割平面的一个新方法。
An intelligent sampling technique coupled with the steepest descent method is implemented for on-line estimation of the process, which can be approximated by a second-order model with time delay.
对于可以用延时二阶模型来拟合的过程，使用一种智能采样技术，结合阶跃下降法，实现了对实时过程的在线模拟。
The learning method of hidden-output layer weights is the steepest descent method and the one of input-hidden layer weights is genetic algorithm(GA) .
网络隐层-输出层的权值采取最速下降法学习，输入层-隐层的权值采用遗传算法进行学习；
The algorithm which utilizes the Steepest Descent Method can give the estimation of displacement between two frames of image directly.
它对一定时间间隔内两次采样得到的图象进行运算，用最陡梯度下降法直接迭代出图象位移的估计值。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
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