中英
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least-square estimation中文是什么意思
- 中文翻譯
- 造句
- 最小二乘估計
- least adj. (little 的最高級，比較級為 less ...
- square n. 1.正方形，四方塊，四角；方形物。 2.(方形)廣 ...
- estimation n. 1.估計，評價。 2.預(yù)算，預(yù)算額；概算。 3.尊 ...
- least square estimation 最小二乘估計; 最小平方估計
- ordinary least square estimation olse 最小平方估計法
- least square 最小二乘方; 最小平方; 最玄乘方
- generalized least squares estimation 廣義最小二乘估計
- least squares estimation 最玄乘估計
- least-squares estimation 最玄乘估計
- nonlinear least squares estimation 非線性最小二乘估計; 非線性最小平方估計
- sequential least squares estimation 順序分解; 序貫最小二乘估計
- integral square estimation 平方積分評價
- mean square estimation 均方估計; 均方評價
- damped least square method 阻尼最小二乘法; 阻尼最小平方法
- discounted least square method 折扣最小二乘法
- extended least square 擴展最玄乘
- generalized least square 廣義最小二乘方
- generalized least square method 廣義最小二乘法; 廣義最小二乘方
- iterative least square method 迭代最玄乘法
- law of least square 最玄乘律
- least mean square 最小均方
- least mean-square optimization 最小均方最佳化
- least square adjustment 最小二乘法平差; 最玄乘平差
- least square adjustment method 最小二乘方法
- least square analysis 最小平方分析
- Least - square estimation
最小二乘估計 - The method consists of two stages : sub - structural inversion of ground motion using least - square estimation , and parameter identification using extended kalman filter
本文所建立的方法分為兩個階段：地震動子結(jié)構(gòu)反演和單元結(jié)構(gòu)參數(shù)識別。 - 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(tǒng)中存在多重相關(guān)性時,它可以提供一個更為穩(wěn)定的預(yù)測。 - The parameter of local model can be calculated by gradient descent in neighborhood with the sofm weight together , or estimated by least - squared estimation ( lse )
局部模型的參數(shù)既可和映射網(wǎng)絡(luò)權(quán)值一起在鄰域內(nèi)采用梯度下降法修正，也可結(jié)合最小二乘法得到其最佳估計。 - Abstract : concerning the least - square estimation of unknown parameters in the linear model , this article discusses the relation between two kinds of relative efficiencies and one generalized correlation coefficient
文摘:討論了線性模型中未知參數(shù)的最小二乘估計的兩種相對效率與一種廣義相關(guān)系數(shù)的關(guān)系 - Further more , with the knowledge of the relations between new and old samples , the article put forward the iteration algorithm of the weight in ordered samples " weighted least - square estimation , the model if good at forecasting
其次，在新樣品與原樣品的關(guān)系確知的情況下，該文提出了有序樣品的加權(quán)估計中權(quán)重的一種迭代取法，再進行新預(yù)測，效果顯著。 - A comparision between the partly - weigthed least - squares estimation and the kalman filter is made on precise kinematic gps positioning with the fixed ambiguities , which shows that the positioning results from the partly - weigthed least squares , which accuracy is at the level of 10 cm , are much more accurate than the results from the kalman filter , which accuracy is at the level of a few meters
針對高精度動態(tài)定位結(jié)果的精度，對最小二乘法和經(jīng)典kalman濾波這兩種算法進行了綜合分析和比較。算例顯示，在高精度gps動態(tài)測量中，最小二乘法可以提供厘米級精度的位置結(jié)果，而kalman濾波算法不但不能提高定位結(jié)果的精度，反而會給定位結(jié)果引入米級的偏差。 - 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(nèi)容包括：研究了客戶群體需求傾向的建模和量化過程：應(yīng)用聯(lián)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(zhuǎn)化為量化的屬性重要度和水平效應(yīng)值，并解決了模型的有效性評估和優(yōu)化問題。
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