least-squares analysis 中文意思是什麼

least-squares analysis 解釋
最小二乘分析
  • least : adj (little 的最高級,比較級為 less 或 lesser)1 最小的,最少的 (opp most)。2 最不重要的,地位...
  • squares : 方鋼
  • analysis : n. (pl. -ses )1. 分解,分析;【數學】解析。2. 梗概,要略。3. 〈美國〉用精神分析法治療(= psychoanalysis)。
  1. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先,系統分析了影響黃河水位的水沙因素,及僅用水沙因素有效研究水位的可行性,並按變量對應思想採集它們的相應數據;其次,由於相應水位過程數據中含極強的非線性關系,本論文經細致的理論分析,將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合,提出了能有效實現這類數據高精度擬合的分層篩選法,並改進了統計學中多因子(三個以上)方差分析法;再次,將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合,實現了這一典型非線性關系的高精度擬合,各年汛期上下游相應洪水位過程的擬合誤差都較小;最後,明確黃河下游含沙量對水位的主要影響方式,即含沙量主要是與其它因素聯合對水位作用;另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  2. We select ni / cr alloy resistor as element together with ceramic embedding hearth ; select small flat - and - disc heat - even hubby ceramic sample holder, select ni / cr & ni / si thermoelectric couple ( type k ) as thermoscope with threads 0. 5 mm in diameter which is installed in the middle of the holders symmetrically ; select aluminum silicate fire - retardant fiber as materials for heat preservation ; design some hardware, for example temperature controller & transporter, signal amplifier etc ; design controlling curve to heat stove ; and introduce the method of least squares nonlinear regression and subsection function to deal with data. in order to obtain the reasonable operation conditions and operation curve, we have also done many theory analysis and experiment discussions

    通過理論和試驗探討,選用鎳鉻合金電阻絲作為加熱元件,配以陶瓷質埋入式爐膛;選用陶瓷質小尺寸扁平?圓盤均熱塊體型樣品支持器;選用0 . 5mm絲徑鎳鉻?鎳硅熱電偶( k )作為測溫元件;熱電偶對稱安置在樣品支持器容器的中部;選用硅酸鋁耐火纖維作保溫材料;合理選用和設計了溫度控制器、溫度變送器、信號放大電路等硬體;採用升溫曲線來控制爐膛供熱過程;採用最小二乘法非線性回歸與分段函數相結合的曲線模擬方法,進行圖形處理。
  3. Using the least squares method to modulate the inclined cable forces both in forward analysis stage and backward analysis stage, the tensile inclined cable forces during construction will be get finally

    最後採用最小二乘法對正裝和倒拆兩個步驟中得到的索力進行修正,得到施工中的斜拉索的張拉索力。
  4. The main works as the following : r / s analysis is introduced to improve wavelet - generalized least squares ( wls ) in order to increase the estimate accuracy of the hurst exponent

    本文的主要工作和創新點如下:提出了一種針對wls ( wavelet - generalizedleastsquares )的ar模型法的改進演算法。引入r s分析法對wls法進行改進,以提高hurst指數估計精度及濾波效果。
  5. Application of partial least - squares regression on multi - dependent variable model analysis of quadratic regression design and its optimal solution

    偏最小二乘法在回歸設計多因變量建模中的應用及其優化
  6. This paper narrates the meaning of research in the applied field of prediction for the ultimate bearing capacity of the integrate pile, introduces several typical predication methods for the ultimate bearing capacity of pile, and gives the way for making model. one of them is the partial least - squares regression method which is put forward by me with the help of mathematics knowledge. the method can offer full range analysis for the ultimate bearing capacity of pile

    本論文主要內容敘述了預測法在完整樁極限承載力中應用研究的意義,引入幾種典型的預測法對樁極限承載力進行預測,闡明了模型的建立方法及過程,其中偏最小二乘回歸預測法是本人藉助數理知識提出的一種新的預測法,用此法可以對樁極限承載力進行全過程分析,本論文最後用marc軟體進行模擬模擬預測,進一步實現了預測的實用性。
  7. 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。
  8. Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

    基於核主成分分析與最小二乘支持向量機結合處理時間序列預測問題
  9. Combining with practical investigation and analysis, the author presented the fitting equation of the second non - uniform coefficient in which the method of least squares error approximation with the power index regression is used and proposed a modified formula for flow rate per second calculation to precisely determine the size of pipeline and to make the design advanced in technology and reasonable cost

    本課題分析了室外和室內的設計流量公式,通過調查、實測本地區的水量資料,運用相關數學方法分析,提出了適合小區給水管網採用的流量公式。
  10. Ridge regression analysis is modified least - squares estimation. it can offer a stable forecasting when there is strong correlation between variables

    嶺回歸分析是一種修正的最小二乘估計法,當自變量系統中存在多重相關性時,它可以提供一個更為穩定的預測。
  11. The main research contents include : study the modeling and measure of tendency of customer group ' s requirements. use the method of least - squares estimation in conjoint analysis to model and measure the tendency of customer group ' s requirements and transform the fuzzy requirements of customer group into numerical attribute importance and level utility. solve the problems of estimation and optimization of regression model

    研究的主要內容包括:研究了客戶群體需求傾向的建模和量化過程:應用聯合分析法的最小二乘回歸模型建模和量化客戶群體需求傾向,將模糊的客戶群體需求傾向轉化為量化的屬性重要度和水平效應值,並解決了模型的有效性評估和優化問題。
  12. The work in this thesis is based on three technologies of multivariable statistical process control ( mspc ), the principal component analysis ( pca ), the partial least squares ( pls ) and the kernel density estimate ( kde ). the work involves the following contents

    基於多元統計過程式控制制方法中的主元分析法,偏最小二乘法和核函數分析法這三種技術,本課題主要研究了以下內容: 1 )用面向對象的方法開發多元統計過程式控制制狀態監測應用系統。
  13. The principle of ( least squares spectrum analysis, lssa ) is introduced in this paper based on the least squares parametric adjustment in vector space

    摘要運用投影理論和基於向量空間中最小二乘平差原理,介紹了最小二乘譜分析方法,給出了最小二乘譜的計算公式。
  14. Fifth, through statistical analysis of electrical connector accelerated life test data, verified that the reliability statistical model of electrical connector and the reliability statistical method under doof data are both correct. applied the maximum likelihood estimate method with the least squares estimator of test data as preliminary estimate and weighted least square estimate method separate to treat the different kind test data, obtained the estimator of electrical connector reliability characteristic values

    第五,採用極大似然估計法和加權最小二乘法對電連接器加速壽命試驗數據進行了統計分析,得到了電連接器可靠性特徵量的估計值,驗證了電連接器可靠性統計模型和doof數據下可靠性分析方法的正確性。
  15. On the base of least squares, using measured data and some optimization methods, both bdm and sfm can get the simulation of stress field and directly provide initial stress state for subsequent stability analysis of slope. bdm can overcome the shortcoming of excess assumption resultiag from other simulation methods, and be widely used in elastic - plastic model. 4

    這兩種方法是利用現有的實測數據,基於最小二乘法制定目標函數,採用一定的優化演算法,結合有限元分析程序,得到巖體初始地應力場,並直接為后續的邊坡穩定性分析提供初始應力狀態。
  16. Firstly, we estimate the variance and the mean of each cell with maximum likelihood ; secondly, we identify the important dispersion effects based on least squares analysis of the logarithm of within - replication variance ; last, we identify the important location effects based on weighted least squares analysis of the mean of each cell. a simulation study also demonstrates its superiority over some existing methods. an experiment for the robust design of thermostat is used to illustrate the method

    本文對帶有右截尾數據的有重復因子試驗,提出了另一種分析位置效應和散度效應的方法:首先,在每一個試驗點,對重復試驗觀察值用極大似然法估計出均值和方差;其次,用每個試驗點方差估計值的對數作為響應變量與各因子建立回歸模型,鑒別出顯著的散度效應;之後,採用加權最小二乘法鑒別出比較顯著的位置效應。
  17. In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality. in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence

    對于具體的模型小波基函數選擇,本文首先對樣本數據進行時頻域分析,根據小波基函數時頻空間覆蓋樣本時頻空間的原則,在小波框架中選擇建模所用的函數集,然後根據估計誤差最小準則,給出最小二乘回歸優選演算法以進一步優化小波基函數集。
  18. The main task of this paper is to investigate the least - squares mixed method for the elliptic boudary - value problems. by introducing the projections and duality problems, we do some analysis for the approximations and finally obtain the general superconvergence results

    本文的主要工作就是研究橢圓邊值問題的最小二乘混合有限元方法,通過引進投影運算元和對偶問題進行收斂性分析,最後得到了超收斂結果。
  19. The method involves principal components analysis, phase space reconstruction and least squares estimate

    方法包括3部分:主分量分析,相空間重構,最小二乘擬合。
  20. Partial least - squares regressive analysis and modeling for tool wear

    刀具磨損的偏最小二乘回歸分析與建模
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