最速下降法 meaning in Chinese
saddle point method
steepest descent method
the method of steepest descent
themethodofsteepestdescent
Examples
- The method of steepest descent
最速下降法 - Since it adopt the steepest descent method in nonlinear programming , it has the drawback that easy converge to a local minimum point of the error function
由于它采用非线性规划中的最速下降法，因而存在极易陷入局部极小的缺陷。 - Based on the steepest descent method and the conjugate gradient method , a hybrid algorithm is proposed in this paper , and its global convergence is proved
摘要将最速下降法与共扼梯度法有机结合起来，构造出一种混合优化算法，并证明其全局收敛性。 - The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong
这种混合优化算法结合了共扼梯度法和最速下降法产生搜索方向，既提高了共扼梯度算法的收敛速度，又解决了目标函数的等值线是扁长椭球时，最速下降法下降缓慢的问题，具有收敛速度快、收敛范围大、适应面广等特点。 - This paper researches blind equalization ruler , analyses the knowledge of hos and summarizes some algorithms based on the hos . odd - order ( third - second order and fifth - second order ) normalized cumulant algorithms are introduced and a new blind equalization ruler is proved and introduced after researching even - order normalized cumulant algorithms . then the steepest descent method is used to derive the algorithm
在分析偶数阶归一化累积量算法的基础上，提出了奇数阶(三、二阶和五、二阶)归一化累积量算法，论证并推导出一种新的盲均衡准则，最后利用最速下降法形成了新算法。