the steepest descent method

基本解释

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。
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。
Compared with the conjugate method or the steepest descent method, the method has features with quick convergence rate, large convergence range and wide accommodation.
文中的算例结果表明，混合算法与单纯的共轭梯度法或最速下降法相比，具有收敛速度快、收敛范围大、适应面宽等特点。