iterative least squares 中文意思是什麼
iterative least squares
解釋
迭代最小平方-
Then discusses its properties, such as biased property, relative efficiency of generalized variance and superiority comparisons between generalized ridge estimation and generalized least squares estimation. shows iterative algorithm based on the mean dispersion error
該估計雖然具有偏崎，但其估計精度具有良好的性質，如：有偏性、方差一致最優性、相對于廣義最小二乘估計的廣義方差效率、 mde ? ?有效性等。 -
Using iterative reweighted least squares method for evaluating flatness errors
使用迭代重加權最小二乘法求解平面度誤差 -
The photon spectrum data that are used in the calculation for translating the absorbed dose to the photon fluence have been obtained by the experimental method with a 12mv pulse accelerator and the iterative least - squares data analysis technique
為此，利用穿透系數數值分析的疊代最小二乘法對12mv脈沖加速器的軔致輻射譜進行了實驗測定，並在同樣的幾何條件下，用m - c方法對其進行了計算。 -
A new computational formula to nonlinear adjustment by parameters, in consideration of the second - order terms, is derived in this paper from the precise orthogonality condition equations to nonlinear least squares by analyzing the direct solving process and iterative computing method of the linearized model
在分析線性化的非線性參數平差的近似直接解法與迭代解法基礎上，利用非線性最小二乘的精確正交性條件方程，推導出顧及到二次項的非線性參數平差的一種新的計算公式。 -
Actually, this is to resolve an over - determined nonlinear system including six output values and eight input values. so newton - gauss iterative algorithms is used, set up the target function in the sense of the least squares. it is discussed whether the minimal solution to the function exist and is single one while the astringency of newton - gauss method is analyzed
對于冗餘驅動振動臺，其位姿正解是求解具有八個輸入、六個輸出的超定非線性方程組，因此本文採用了最小二乘法中的牛頓?高斯迭代法，建立最小二乘目標函數，對目標函數極小解的存在性、唯一性以及牛頓?高斯迭代法的收斂性進行了理論證明和分析，將求出的最小值作為位姿正解的最優解。 -
On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是從約束最小二乘出發，在加性噪聲能量有界的前提下，採用正則化方法來克服病態問題，通過解一個單變量方程，並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題，從最小二乘演算法出發，採用增量迭代的方法改善演算法的收斂性，同時結合正則化技術克服問題的病態性質，並引入自適應的正則化參數，使其與圖像復原的迭代運算同步進行並自動修正到最優值。 -
Using multi - way partial least squares ( mpls ) model integrated with iterative learning control, the final quality control for batch processes is presented
摘要提出了多向偏最小二乘（ mpls ）模型和迭代學習控制相結合的方法，實現間歇過程終點時刻產品質量指標的控制。 -
Convergence area of tor iterative method for solving least squares problems
方法求解最小二乘問題收斂域 -
Phase - shifting errors have a great influence on the measuring - accuracy. a few of algorithms have been developed to solve linear phase - shifting errors, but ca n ' t solve the problem of random phase - shifting errors. an iterative least - squares fitting method has been proposed by in - bok kang to solve random phase shift errors in each interferogram
在這種方法中相移的誤差對測量結果的準確性有較大影響，雖然已經出現了不少演算法能解決線性相移誤差，但要解決相移過程中的隨機相移誤差問題，還存在一定的困難。 -
But until 1970s, the nipals ( nonlinear iterative partial least squares ) algorithm had been proposed to realize the ideals of pls regression. as far as the international workshop on pls regression had been hold in france in 1990s, it just was the virtual takeoff to develop the theories and applications of pls rapidly
其基本思想早在20世紀60年代就出現了，但直至70年代提出的nipals演算法，解決了pls演算法實現的問題；到了90年代，在法國召開了偏最小二乘回歸國際研討會，才真正有力地促進了pls理論和應用的發展。 -
The learning algorithm is only based on linear least squares, and no iterative learning processes are needed. according to the demand of model precision, the algorithm determines the best weights of network and the minimal number of hidden nodes automatically
該學習演算法能夠根據擬合精度要求，運用線性最小二乘法確定相應的最佳網路權值和線性部分的參數，並自動確定最佳的隱層節點數。
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