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Proposed a new competition algorithm based on gradient descent algorithm acorrding to a cost function defined,and proved the convergence of the new algorithm. 根据定义的损失函数,利用梯度下降法得到新的模型竞争学习算法,并证明了该竞争算法的收敛性。
To achieve better network generalization capability, the PSO combined with the gradient descent algorithm was applied to optimize the parameters of the ellipsoidal units. 为提高椭球基概率神经网络的性能，提出了一种把粒子群优化算法和梯度下降算法相结合的混合结构优化算法用于椭球基神经元的优选和控制参数的优化。
Proposed a new competition algorithm based on gradient descent algorithm acorrding to a cost function defined, and proved the convergence of the new algorithm. 根据定义的损失函数，利用梯度下降法得到新的模型竞争学习算法，并证明了该竞争算法的收敛性。
Stochastic parallel gradient descent algorithm 随机并行梯度下降算法
stochastic parallel gradient descent algorithm(SPGD) 随机并行梯度下降算法
Comparison between GA and gradient descent algorithm in parameter optimization of UPFC fuzzy damping controller 基于遗传算法的UPFC模糊阻尼控制器参数优化及与梯度下降法的比较
Is based on the idea of gradient descent. 规则是基于梯度降落这样一种思路。
gradient descent algorithm 梯度下降法
Based on gradient descent rule, the BP( Back Propagation) algorithm is a local optimization algorithm. bp算法基于梯度下降原理，是一种局部寻优算法。
Finally it uses variable learning rate gradient descent method to optimize optimum network which is trained by genetic algorithm, then applied in the multiuser detection. 并用变学习速率梯度下降法优化遗传训练出的最优网络，应用到多用户检测中。
Gradient descent algorithms 梯度下降算法
The self-tuning fuzzy control algorithm including a back-propagation-based fuzzy controller and the gradient descent method is applied to reduce the pitch motion of the SWATH ship with control stabilizing fins. 控制模式为一自调模糊控制，包括应用一类神经倒传递观念的模糊控制器及梯度下降法来减少纵摇运动。
Training networks combining genetic algorithm (GA ) based on global optimization with backpropagation (BP) based on gradient descent in the paper make the linking weights of networks self-adaptive evolution in constantly iterative process. 本文采用全局寻优的遗传算法（GA）和基于梯度下降的局部寻优反传算法（BP）相结合来训练网络，使网络的连接权在不断迭代过程中自适应演化。
The iteration process is replaced by the PSO based on the gradient descent of FCM, which makes the algorithm have a strong global searching capacity and avoids the local minimum problems of FCM. 新算法用PSO算法代替了FCM算法的基于梯度下降的迭代过程，使算法具有很强的全局搜索能力，很大程度上避免了FCM算法易陷入局部极小的缺陷；
In this paper,a class of new descent algorithm is proposed to solve unconstrained optimization problems. 研究给出了一类新的求解无约束优化问题的下降算法。
Furthermore, the gradient descent and recursion least squares are used to optimize the parameters of the basis function and the linear weight of the output layer, respectively. 同时为进一步提高网络性能，采用梯度下降法与递推最小二乘法混合学习策略，分别对基函数参数（中心与宽度）和输出层线性权值进行学习。
The main role for the Line-Up Competition Algorithm LCA) is in global research, while Speediest Descent Algorithm (SDA) is in local search. 其中,列队竞争算法的主要作用是实现全局搜索,而梯度法的作用是实现局部寻优,这两种方法的结合,可以使全局搜索与局部搜索达到均衡和统一。
By using log-polar image gradient descent for minimizing a dissimilarity measure, mission was tracked, The registration of the airborne imagery shows that the method is efficient. 匹配后，用相对运动时目标的对数极坐标变换图像梯度下降最小相异评估方法对目标进行跟踪，通过对航拍照片进行匹配测试，证明了这种方法的有效性。
A descent algorithm for solving unconstrained optimization is discussed. Global convergence result is established with inexact line search. 摘要研究了求解无约束优化问题的一种共轭下降算法，并在非精确线搜索条件下证明了该算法的全局收敛性。
Among known model-free optimization techniques, stochastic parallel perturbative gradient descent is perhaps the most promising for adaptive optics applications. 译文：在已知的无模型优化技术中，随机并行扰动梯度下降算法对自适应光学应用而言可能是最有前途的。