regression error 中文意思是什麼

regression error 解釋
回歸誤差
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • error : n. 1. 錯誤；失錯。2. 謬見，誤想；誤信；誤解。3. 罪過。4. 【數學】誤差；【法律】誤審，違法；（棒球中的）錯打。adj. -less 無錯誤的，正確的。
  1. The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum

    該模型是在模糊線性回歸模型的基礎上推導出來的，它可以尋找最合適的線性函數使理想線性回歸中的線差和達到最小。
  2. The standard error of estimate, on the other hand, measures the variability, or scatter, of the observed values around the regression line.

    而估計值的平均誤差，卻是度量觀察值圍繞著回歸直線的變化程度或分散程度。
  3. Through the simulation and error comparison between classics regression model and neural network model, it showed that bp should be applied in liquid concentration measurement system to improve measurement accuracy and decrease the non - linear effect from temperature

    通過模擬研究，與傳統的回歸模型進行誤差對比，得出了應採用bp神經網路技術建立智能化液漿濃度測量模型，提高測量精度，克服溫度變化非線性影響的結論。
  4. Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database, an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression, based on measuring and learning 400 groups of single - color database. by this method, the mean error decreases when converting from rgb to cmyk, the precision of color matching is improved, and the automatic and general problem in color matching is further solved

    本文基於統計學習理論構造了一種快速自適應隨機搜索演算法，證明了演算法的收斂性.給出了一種簡易實用的寬帶天線匹配設計新方法.應用該自適應演算法進行天線匹配設計，不僅演算法簡單，易於編程實現;而且能夠快速設計出具有較好性能的匹配網路，非常適用於各種短波、超短波天線的匹配設計問題
  5. We calculate the regression curve about length of erased magnetic record and lightning current peak. we analyze the error of recording data and find a new means about direct measurement of the max lightning steepness with magnetic tapes

    作出磁帶消磁長度與霄電流峰值的擬合曲線，對測量數據進行誤差分析，找到利用磁帶直接測量靂電流最大陡度的新方潔。
  6. In the second part, we adopt a few typical error analysis methods, primarily including the relativity analysis and the regression analysis, to analyses the relative error and absolute error of the time error, spatial data error and statistic data error of the raw input data in the model. then, we take each influence factors in the model into the relativity analysis and the regression analysis. finally, we synthesize the results of the above error analysis to figure out the theoretic accuracy of that model as 87 %

    第二部分主要是採用幾種典型的誤差分析方法，主要包括相關性分析和回歸分析，對模型的原始輸入數據的時間誤差、空間誤差和統計數據誤差進行了相對誤差和絕對誤差的分析，然後又對模型中各影響因子進行了相關分析和回歸分析，最後綜合以上誤差分析的結果得出該模型的理論精度為87 。
  7. Aiming at regression analysis of prediction variable with error, this paper discusses the estimation of regression of coefficient, and a method is given

    林業科學試驗的預測模型中往往帶有測量誤差，此時回歸系數的估計不具有無偏性。為解決這一問題，從合理安排試驗的角度，給出了一個有效的解決辦法。
  8. Ann methods are feasible for the verification measurements in nuclear safeguards. experimental data sets have been used to study the performance of neural networks involving radial basis function neural network and generalized regression neural network ( grnn ). the optimization of the parameter spreads have been given and the analysis error of grnn no more than 0. 2 %

    分析結果表明，使用泛化能力較高的混合訓練集訓練神經網路，網路給出的富集度值與標準樣品的標稱值之間的相對差異小於13 % ；使用泛化能力相對較弱的分組訓練集訓練神經網路，網路給出的分析結果的不確定度小於2 % ；使用分組訓練集和廣義回歸神經網路，網路給出的分析結果的不確定度小於0
  9. The above algorithm forms a double - two - stage iteration, as following : the results of monte carlo stimulation show that the double - two - stage iteration algorithm is more effective than empirical logistic regression after item and ability parameters recovery study. there are three advantages about the new method : first. the new method can be applied to estimate fewer items ; secondly, a test including fewer unusual response patterns can also be evaluated ; thirdly, the results compared with homogeneous software dealing with 2plm are accepted using mean absolute error as the criterion

    這種新方法有以下三個優點：項目數很少時參數估計的結果也較穩定；能處理測驗中含有少量特殊反應模式（見第二章）的參數估計；以估計值和真值之差的絕對值（平方）的平均值作為估計對真值的修復能力為指標，新方法的參數估計結果與同類流行軟體相比，修復能力不相上下；特別地，新的參數估計方法可以用於多級評分項目gpcm ，並為估計題組項目開辟了另一條道路。
  10. It utilized the quantity theory and the regression analytical method, took example for modifying and simulating corn growth model, which is one of original model of crops yield of heilongjiang province. according to yield predict and error analysis for model, it verified the model had applicable value

    利用數量化理論和回歸分析方法，以原黑龍江省大區域作物產量模型之一?玉米生長模型為例，進行了玉米產量模型的修正和擬合，通過對該模型的產量預測和誤差分析，證明該模型具有實際應用價值。
  11. ( 2 ) when analyzing the testing method for the " day - of - week effect ", we considered the ols regression effect and the testing power will decrease because of the different variable in real securities data. we considered the identification. estimation and hypothesis testing of the linear regression model with one rank auto - regression ( ar ( 1 ) ) error ( 3 ) we considered how investors reasonably utilize the testing result of the " day - of - week effect " to direct the investment strategies after obtained it

    （ 2 ）在對「周內效應」的檢驗方法進行分析時，考慮到實際證券數據由於具有異方差性，使得利用ols進行回歸將導致回歸效果和檢驗的勢降低，我們對于具有一階自回歸誤差的線性回歸模型，仔細討論了該模型的識別、估計和對相應參數假設檢驗的方法。
  12. Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company, the uncertainty of space planning was defined. during this analysis process, linear regression, grey prediction, neural network back propagation algorithm and confidence interval were applied, respectively, to define the uncertainty. compared with those methods, the confidence interval of historical space forecast error, calculated by mathematical statistics, was the reasonable method to define the space forecasting uncertainty

    本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開，對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析，採用線性回歸，灰預測，神經網路bp演算法，基於數理統計的置信區間的求解等方法分別定義廠房生產面積預測的不確定度，經多種方法的比較得出，基於數理統計方法求解出的生產面積歷史預測誤差置信區間能直觀清楚地標定不確定度。
  13. Firstly, a coarse forecasting model based on only the primary influencing factor ( that is the weight of iron in matte ) is built using linear regression analysis, then, an error compensating model based on other influencing factors is built to improve the result of forecast

    首先應用線性回歸技術建立了僅考慮主要影響因素（銅統含鐵量）的粗略預報模型，而後，應用神經網路技術建立了考慮到多個次要影響因素的誤差補償模型，從而改進預報效果。
  14. Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results, monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection, cerebral hemorrhage as well as cerebral infarction in jinhua

    過去在選擇預報因子時沒有考慮預報因子間的相關性，挑選的預報因子由於非正交使回歸計算的結果不穩定，給計算帶來一定的誤差。針對這一問題，文章將一元線性回歸分析、自然正交函數法（ eof ）和逐步回歸方法結合起來，建立了南京感冒以及金華的上呼吸道感染、腦出血和腦梗塞的發病指數預報模型。並將模型結果與逐步回歸法建立的模型進行比較。
  15. Three models are established first by linear regression analysis with the experiment data of practical ship plate. through comparisons between the three models obtained, the effect of each parameter on the local contraction, is examined, the conditions of application are estimated, and explanations are given to the error induced in the models obtained. 3

    首先選擇影響成型的主要變形參數，運用數理統計原理及逐步回歸分析方法，對945鋼板測試數據進行回歸分析，建立了三種變形參數的回歸模型，最後比較分析這三種回歸公式的回歸效果，考察回歸公式中各變形參數對變形量的影響程度，給出適用條件，分析誤差項產生的原因。
  16. This paper studies mainly the theories of the semi - parametric regression model : ( 1 ) under proper conditions, using random weighted way to the estimator of the error density f ( x ) of the semi - parametric regression model, this paper proved the strong and weak consistent and the asymptotic unbiased property of the weighted kernel estimation fn1 ( x ) of the f ( x )

    本文對半參數回歸模型：主要做了以下三個方面的理論研究： （ 1 ）將隨機加權法應用到半參數回歸模型的誤差密度f （ x ）的估計當中去，在適當的條件下，證明了誤差密度的加權核估計（ ? ） _ （ n1 ） （ x ）的強相合性、弱相合性及漸近無偏性。
  17. Abstract : the generalized shrunken prediction of finite population is introduced, using generalized shrunken least squares estimator of linear regression models. with respect to prediction mean squared error, a necessary and sufficient condition for superiority of a generalized shrunken prediction over the best linear unbiased prediction is obtained. in the case of linear combination of every unit index, a linear restricting prediction is introduced and then a necessary and sufficient condition for superiority of linear restricting prediction over the best linear unbiased prediction is devived

    文摘:利用線性回歸模型的廣義壓縮最小二乘估計，引入了有限總體的廣義壓縮型預測，在預測均方誤差意義下，得到了廣義壓縮型預測優于最佳線性無偏預測的一個充分必要條件；在只能得到每個個體指標的線性組合時，引入了一種線性約束型預測，並得到了線性約束型預測優于最佳線性無偏預測的一個充分必要條件
  18. Strong consistency for the weighted kernel estimation of a regression function under - mixing error condition

    混合誤差下回歸函數加權核估計的強相合性
  19. Some preceding rain factors were list, then stepwise regression algorithm was employed to select the obvious factors from the list as the input of the bp networks. and the trial - and - error method is employed to define the number of the hidden layer nodes

    論文列出若干個前期降雨量因子，利用逐步回歸演算法從中挑選出影響因素大的作為網路的輸入，通過「試錯法」確定隱節點數。
  20. In fact, the two - stage regression method has been proved effective to decouple the coupling of the magnitude and distance, and minimize the regression error

    因此，在回歸分析時，必須考慮這種震級和距離耦合作用可能會帶來大的誤差。
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