学习算法在最速下降法的基础上给出，并加以改进。
The algorithm of studying bases on the foundation of the descent method most rapidly, and was improved.
研究实现了基于最速下降法(SD)的JPEG2000率控制方法。
A fast rate control algorithm based on Steepest-Descent (SD) was proposed for JPEG2000.
本文分析了基于残差空间求解线性方程组的一维投影算法即最速下降法。
The one-dimension projection algorithm, which is the steepest descent based, base d on residual space for solving linear equations is analyzed in this paper.
用状态观测器方法构造同步混沌接收系统，根据最速下降法辨识未知参数。
A synchronous chaotic receive system was constructed by a state observer method, and the unknown parameters were identified by steepest descend method.
最后用最速下降法进行路径搜索，实现了自主车在模糊环境下的越野路径规划。
The path search using Steepest Descent Approach, the cross country path planning about fuzzy environment for an autonomous land vehicle is implemented.
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。
The one-dimension projection algorithm, which is the steepest descent method, based on residual space for solving linear equations is analyzed in this paper.
本文首先在标量场论的情形下，用最速下降法对有效势的泛函形式作了简要的评论。
The functional formalism for the effective potential is briefly reviewed for the case of a scalar field theory by using the method of steepest descents.
反演过程中利用具先决的最速下降法，可解决覆盖层速度和折射界面深度同时反演问题。
The preconditioned fastest descent means in inversion achieves simultaneous in - versions of overlying-bed velocity and refractor depth.
将最速下降法与共轭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。
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.
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 learning method of hidden-output layer weights is the steepest descent method and the one of input-hidden layer weights is genetic algorithm(GA) .
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.
本文根据常微分方程参数反问题的数学理论，将正交化方法同有限差分法结合用于确定水质模型参数，并与正则化方法、最速下降法和共轭梯度法作了比较。
The comparison of the calculation results show that orthogonal rule method is fast, simple and reliable, and is applicable to the calculation of the water quality modeling parameters.
本文根据常微分方程参数反问题的数学理论，将正交化方法同有限差分法结合用于确定水质模型参数，并与正则化方法、最速下降法和共轭梯度法作了比较。
The comparison of the calculation results show that orthogonal rule method is fast, simple and reliable, and is applicable to the calculation of the water quality modeling parameters.
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