The first phase can be described as:First,the network parameters are optimized by the modified ant colony algorithm;second,the parameters optimized in the first phase are further optimized using the steepest descent algorithm in order to get more acute neural parameters.
该算法分两阶段完成,第一阶段用改进的蚁群优化算法进行网络参数优化;第二阶段利用最速下降法对第一阶段得到的网络参数进行进一步的优化,以得到更加精确的网络参数。
参考来源 - 基于蚁群算法的RBF神经网络优化算法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
The corresponding adaptive algorithm was derived based on the steepest descent method.
基于最陡下降方法，推导出了相应的自适应算法。
The one-dimension projection algorithm, which is the steepest descent method, based on residual space for solving linear equations is analyzed in this paper.
分析了基于残差空间求解线性方程组的一维投影算法、最速下降法和最小剩余法。
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