descent method

基本解释

The algorithm of studying bases on the foundation of the descent method most rapidly, and was improved.
学习算法在最速下降法的基础上给出，并加以改进。
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。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
并提出分别采用共轭梯度法、二元自适应收缩法以及梯度下降法对以上优化问题求解。