least-square estimation造句
例句與造句
- 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：地震動子結構反演和單元結構參數(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)中存在多重相關性時,它可以提供一個更為穩(wěn)定的預測。 - 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)絡權值一起在鄰域內采用梯度下降法修正，也可結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系數(shù)的關系 - It's difficult to find least-square estimation in a sentence. 用least-square estimation造句挺難的
- 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系確知的情況下，該文提出了有序樣品的加權估計中權重的一種迭代取法，再進行新預測，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果，而kalman濾波算法不但不能提高定位結果的精度，反而會給定位結果引入米級的偏差。 - 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(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化為量化的屬性重要度和水平效應值，并解決了模型的有效性評估和優(yōu)化問題。