梯度下降法与混沌优化法均具有各自的缺点。
The decreasing gradient algorithm and chaos algorithm both have shortcomings for optimization problems.
用凝固点下降法测定了产品的分子量为478。
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.
但BP神经网络本质是梯度下降法，容易陷入局部最优。
BP neural network, as its nature of gradient descent method, is easy to fall into local optimum.
该模型采用五层前向模糊神经网络，学习算法为梯度下降法。
The model was a Feedforward Fuzzy neural network possessing five layers, and Gradient Descent was adopted as learning algorithm.
然后利用梯度下降法推导了基于最优模式中心的NLDA算法。
The second algorithm calculates the optimum classes' centres of NLDA by method of grads descending.
采用变形有限元法对坩埚下降法晶体生长过程进行了瞬态数值模拟。
Transient numerical simulation for Bridgman method was carried out by means of deforming finite element method .
有两种方法可以用来设计网络，一是能量下降法，另一个是梯度下降法。
Two ways are used to design the network, the one is the direct energy descent method, and the other is the gradient descent method.
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.
将权矩阵的学习过程归结为用梯度下降法求一组矛盾线性方程组的过程；
Then, the learning of the weight matrix can be done by means of solving a group of systems of linear equations. Last, the mathematical base of the outer-product leaming method is pointed out.
运用梯度最陡下降法，推导出能量函数曲线演化方程，并应用于图像分割。
Using gradient-descent methods the energy function is minimized and a curve evolution equation is obtained to segment the image.
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.
首先研究了离线训练的滑模控制器，然后，给出了利用梯度下降法的在线训练方法。
First, a study of a sliding mode controller under on off training is made and then the on line learning algorithm using a gradient decent method is designed.
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.
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。
And the three optimization problems are solved respectively by the conjugate gradient method, the adaptive bivariate shrinking and the gradient descent method.
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.
其实质是采用梯度下降法使权值的改变总是朝着误差变小的方向改进，最终达到最小误差。
The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.
本文研究了BP网络，实现了“梯度下降法”的网络训练方法，获得了较传统方法好的效果。
This paper studies BP network, realizes the method of gradient descent, gets better result than traditional one.
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.
最后给出了一个求解的下降法，并考察了最优化问题的误差界问题，以分析叠代法的收敛性。
Finally, wo present a descent method for solving VIP and study a global error bound for unconstrained optimization reformulation in order to discuss the convergence of itinerative method.
与提拉法相比，采用坩埚密封的下降法生长sgg单晶，可以显著提高晶体产率，降低成本。
Compared with Czochralski method SGG single crystal growth with crucible capsuled vertical Bridgman method can improve crystal production and lower the cost efficiently.
运用最优梯度下降法使目标的计算值与期望值误差最小来迭代优选权重，建立迭代算法模型。
A few or all of the parameters of the controller are adjusted by using the gradient descent algorithm to minimize the output error.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
对小波神经网络采用最速梯度下降法优化网络参数，并对学习率采用自适应学习速率方法自动调节。
In WNN the most fast grads descent methodology was adopted to adjust the network parameters and the learning rate by self adapting learning rate method.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
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