Three programs, i. e., stochastic gradient (SG), fast Kalman (FK) and recursive least square (RLS), are used.
应用了三种程序，它们分别是随机梯度(SG)、快速卡尔曼滤波(FK)和递归最小二乘(rls)。
This paper presents the performance analysis of recursive least square algorithm with error-saturation in mixture noise.
本文给出了在混合噪声中非线性递归最小均方误差算法的性能分析。
The modified neural network's learning speed is much increased because of the linear network and the recursive least square.
由于线性网络的引入及递推最小二乘法的使用，大大提高了网络的学习速度。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
In this paper the recursive least square algorithm is described and a practical recursive algorithm is used in differential protection of transformer.
本文在分析递推最小二乘算法的基础上，给出了在微机变压器差动保护中采用的实用递推算法。
The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.
分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统，混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。
Recursive least square method was used to adjust the parameters of the PID controller, which was applied in three-element control system of boiler drum level.
利用递推最小二乘法循环调整P ID参数，并将该控制器应用于锅炉汽包水位三冲量控制系统。
Applying the recursive least square method to background rebuild, revising the gain factor and bringing in much information forecast more perfect complex background.
研究了渐消记忆递归最小二乘法在背景建立中的应用，修正增益因子，引入更多的背景信息，对复杂背景进行更加完善的预测建立。
A kind of structure adaptive self tuning controller is proposed, which is composed of the varying order recursive least square method and a varying structure control law.
针对时变结构系统提出一种结构适应式自校正控制器，它由变阶式递推最小二乘法和变结构控制律组成。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中，以估计助力电动机的转速。
The model USES an improved nearest-neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network.
该模型首先采用改进的最近邻聚类算法确定径向基函数中心，接着应用递推最小二乘法训练网络的权值。
Using this model and the Recursive Least Square (RLS) method, the model parameters and then the mass to be weighed can he identified from the step response of very short duration.
借助这一模型和递推最小二乘法(RLS)，可以由极短的称重阶跃响应估计出模型参数和被称质量。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In order to improve the checking efficiency while satisfying the prerequisites for accuracy simultaneously, the recursive least square method is applied to the angular errors checking process.
在满足角位置误差测量精度的情况下，为了提高测试效率，将递推最小二乘法应用于组合测角中。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
The conclusion parameters are identified by the recursive least-square identification algorithm.
在此基础上利用递推最小二乘算法辨识出模型的结论参数。
When the noise variance is known, and it's process is stationary, the signal can be enhanced by use of the recursive least mean-square estimation.
当噪声的方差已知，且过程是平稳的，应用递推最小方差估计，能够增强信号。
When the noise variance is known, and it's process is stationary, the signal can be enhanced by use of the recursive least mean-square estimation.
当噪声的方差已知，且过程是平稳的，应用递推最小方差估计，能够增强信号。
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