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- two-stage least squares residuals 兩段最小平方剩余殘差
- C1 is obtained using the least square method. C1 被獲得使用最沒(méi)有正直的方法。
- Algorithm gor least square fit curve. 最小二乘法擬合曲線(xiàn)的算法-
- Properties of OLS: minimize the sum of squared residuals. OLS性質(zhì)：最小化殘差平方和。
- Then inversion of the advanced detection is caried out by least square method. 然后采用最小二乘法對超前探測視電阻率曲線(xiàn)進(jìn)行快速反演。
- Secondly, the initial normal vector will be improved by conicoid least square. 然后,采用最小二乘進(jìn)行二次曲面擬合進(jìn)行修正。
- They serve those little square burgers. 供應那些方形的漢堡。
- Least squares in linear models II. 線(xiàn)性模型中的最小二乘法2。
- One way to construct this line is by least square, weighting all points equally. 辦法之一是給予所有的點(diǎn)子以相等的權用最小二乘方法來(lái)畫(huà)這條線(xiàn)。
- He seated himself by the little square table on the verandah. 他在廊子下面的小方桌前坐了下來(lái)。
- In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced. 本文闡述了兩類(lèi)不同概念的遞推最小二乘估計。
- This little square is used by students as a place to chat. 這方不算大的中庭廣場(chǎng)，是許多學(xué)生閒時(shí)聊天的場(chǎng)所。
- The model parameters are estimated using a recursive extended least square method. 用遞歸擴展最小二乘法估算了模型參數。
- And the relationship between constrained least square unmixed accuracy and within endmember variances was analyzed with simulation data. 然后用數值模擬的方式進(jìn)一步研究了端元內部光譜與限定性混合像元分解精度的關(guān)系。
- Order components were extracted in time domain by constructing weighting least square adaptive filter. 通過(guò)構造加權最小二乘自適應濾波器，實(shí)現了各階比成分在時(shí)域中提取。
- This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion. 以決策樹(shù)作為基本分類(lèi)器，引入最小二乘技術(shù)進(jìn)行多分類(lèi)器線(xiàn)性融合。
- Exe-Using least squares algorithm on Multi-times curve fitting. 最小二乘法多次曲線(xiàn)擬合。
- It is difficult to simulate a velocity profile with the traditional least square method. 摘要傳統的最小二乘法擬合流速剖面存在一定的困難。
- Secondly, the surface smoothness is adjusted by introducing the fairing criteria into the least square function. 然后將光順準則加權到最小二乘函數中調節曲面光順程度；
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 該文提出結合粗糙集(RS)和最小二乘支持向量回歸(LS-SVR)的方法。
