通过最小化能量方案极小化代价函数，同时通过定点交替迭代策略将非线性方程进行线性化处理，快速恢复图像。
The cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme.
提出一种交替梯度算法，对径向基函数(RBF)神经网络的训练进行改进。
One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.
对于非线性函数线性组合型相关方程，本文提出了交替运用非线性拟合和逐步线性回归分析相结合的方法一逐步非线性拟合。
A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
首先定义流体体积函数，然后将动边界问题的求解分为两个步骤，即将动边界的追踪与主场压力的求解交替进行。
After defining the function of volume of fluid, the resolve is divided into two steps, namely tracing the moving boundary and resolving pressure.
首先定义流体体积函数，然后将动边界问题的求解分为两个步骤，即将动边界的追踪与主场压力的求解交替进行。
After defining the function of volume of fluid, the resolve is divided into two steps, namely tracing the moving boundary and resolving pressure.
应用推荐