1) recursive least square
递推最小二乘
1.
Magnetic deviation compensation using recursive least square for AHRS;
基于递推最小二乘的航姿系统罗差校正
2.
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。
3.
An adaptive voiced/unvoiced segmentation based on the traditional short-time analysis,with the adaptive tracking capacity of recursive least square(RLS) to the non-steady signal,has been presented.
在"零-能"判决法的基础上,结合递推最小二乘(RLS)对非平稳信号的自适应跟踪能力,提出自适应的清浊音分段算法。
2) RLS
递推最小二乘
1.
A kind of arithmetic of recursive least squares(RLS) method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online.
采用了带遗忘因子的递推最小二乘和基于零频率的模型匹配的联合辨识算法对空调系统进行在线辨识。
2.
The regularized kernel recursive least square (RKRLS) algorithm proposed here applies "Kenel Trick" to recursive least square (RLS) and adopts a regularized method to perfect the target function.
对递推最小二乘(RLS)进行了非线性的核(kernel)变换,并采用正则化技术改写了目标范函,提出了一种正则核变换递推最小二乘(regularizedkernel,RLS)算法。
3.
Recursive Least Square (RLS) has many shortcomings in identification procedure, such as the model order to be set suitably, limited approximation ability and slow convergence.
递推最小二乘(RLS)存在模型阶次及参数要预先设定、逼近能力有限、收敛较慢等诸多缺陷,本文提出了矢量基学习(VectorBaseLearningVBL)算法。
3) recursive least-squares
递推最小二乘
1.
Nonlinearity correction of temperature sensor based on B-spline recursive least-squares;
基于B样条递推最小二乘的温度传感器非线性校正
2.
Modeling approach to nonlinear MISO sensor system based on B-spline recursive least-squares
基于B样条递推最小二乘的非线性MISO传感器系统建模方法
3.
By applying recursive least-squares technique to minimize the cost function,an adaptive algorithm is proposed for finding the most dominant generalized eigenvector.
通过应用递推最小二乘(RLS)技术来最小化损失函数,得到了用于求解最大广义特征值对应的广义特征向量的自适应算法。
4) recursive least squares
递推最小二乘
1.
The advantage of nonuniformity correction algorithm based on recursive least squares(RLS) in IRFPA lies in its low computational complexity and memory requirements,which makes it easy to meet the need of projects.
基于递推最小二乘(RLS)的红外焦平面阵列非均匀校正算法具有计算量和存储量小等优点,易于工程实现。
2.
Combined subtractive clustering and fuzzy C-means clustering(FCM) to divide the input space,extracted fuzzy rules from the input and output data,then the identification model could be indicated by a number of local linear models,after that used recursive least squares method to identify the parameters,thereby a nonlinear system of T-S fuzzy model was set up.
采用减法聚类和模糊C-均值相结合的模糊聚类算法对输入空间进行划分,进而从输入输出采样数据中提取系统模糊规则,这样使得被辨识模型可用若干局部线性模型表示,然后利用递推最小二乘法对后件参数进行辨识,从而建立了非线性系统的T-S模糊模型。
5) recursive least square
递推最小二乘法
1.
To overcome the large memory expense in the process of on-line identification by utilizing support vector machine(SVM), least squares support vector machine (LS-SVM) was combined with recursive least square(RLS), the weigh vector and bias were adjusted on-line by RLS algorithm, and on-line identification of inverse dynamic model of system was realized.
为克服支持向量机(support vector machine,SVM)在线辨识过程需要较大的内存开销的问题,该文将递推最小二乘法(recursive least square,RLS)与最小二乘支持向量机(least squares support vector machine,LS-SVM)回归相结合,利用RLS在线调整支持向量机的权向量和偏移量,实现了系统逆动力学模型的在线辨识。
2.
The recursive least square can regulate the Q and R matrix dynamicly and rapidly.
针对Riccati方程中系数矩阵Q和R的调整需凭经验和多次试凑的不足,采用递推最小二乘法对系数矩阵进行在线调整,使系数矩阵的参数进行在线优化,更好地发挥了LQR控制器的优势。
3.
Firstly,the method establishes a heat balance model through modifying the parameter of academic reac- tion heat balance expressions using the recursive least square method.
提出了一种吹炼剩余热组合预测模型,以便能根据剩余热准确确定冷料的加入量,提高冷料的使用率;首先,基于吹炼的化学反应过程得到的剩余热计算公式,采用递推最小二乘法,修正剩余热计算公式,建立热量衡算模型;然后,利用递推最小二乘法,修正剩余热计算经验公式;最后采用组合预测算法综合集成两种模型作为剩余热计算的预测模型;实际应用结果表明:利用集成方法建立的预测模型的相对误差控制在10%的波动范围内,具有较高的预测精度。
6) RLS
递推最小二乘法
1.
Application of RLS in warning controller;
递推最小二乘法在警戒控制器上的应用
2.
RLS parameter identification and emulate based on matlab/simulink;
基于MATLAB的递推最小二乘法辨识与仿真
3.
Its parameters are identified with the Recursive Least Square method(RLS).
建立了水轮机调节系统被控对象的非线性模型,用递推最小二乘法(RLS)对被控对象进行参数辨识。
补充资料：非线性最小二乘拟合
分子式：
CAS号：
性质：用最小二乘法拟合非线性方程。有些变量之间的非线性模型，通过变量变换可以化为线性模型，此称为外在线性。而有些变量之间的非线性模型，通过变量变换不能化为线性模型，通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε，其残差平方和。S(θ)是θ的函数，当模型关于θ是非线性的，正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值，拟合非线性回归方程。
CAS号：
性质：用最小二乘法拟合非线性方程。有些变量之间的非线性模型，通过变量变换可以化为线性模型，此称为外在线性。而有些变量之间的非线性模型，通过变量变换不能化为线性模型，通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε，其残差平方和。S(θ)是θ的函数，当模型关于θ是非线性的，正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值，拟合非线性回归方程。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条