ridge regression 中文意思是什麼

ridge regression 解釋
脊狀回歸
  • ridge : n 1 【動物；動物學】脊；脊背。2 山脊；嶺，崗；分水嶺，山脈。3 屋脊；（犁溝與犁溝間的）犁壟；鼻樑...
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  1. The superiority of generalized ridge estimation of regression parameter in growth curve model under pitman closeness criterion

    準則下生長曲線模型回歸參數陣廣義嶺估計的優良性
  2. In this paper, the structure and main parameters of furrow - ridge - opener are analyzed. the soil load characteristics of the ridge - opener were measured in the soil bin ; the regression equation of the traveling force resistance was formulated. the working performace and characteristics of the water - application - furrow seeder unit were analyzed

    在本文中，對起壟開溝器的結構形式及主要參數進行了理論分析，並通過土槽對起壟翼的主要性能參數進行了回歸實驗，得到了牽引阻力的回歸模型。
  3. Ridge regression learning in esn for chaotic time series prediction

    嶺回歸學習演算法及混沌時間序列預測
  4. Based on multi - factor orthogonal designed field experiment, the ridge regression models of seed yield components and seed yield of the 6 grass species are founded through ridge regression analysis with big samples

    摘要採用多區組多因素正交試驗設計，通過大樣本嶺回歸分析求出6種禾本科牧草種子產量因子與產量的嶺回歸模型。
  5. Based on the least squares and biased estimation especially ridge estimation, a new estimation, that is, generalized ridge estimation is put forward through studies on restriction of the parameter. model ' s prediction being considered, comparison of superiority of optimal and classical predictions with respect to the ridge estimation is showed. regression diagnoses especially distance for principal components estimation is discussed

    論文基於最小二乘估計及有偏估計特別是嶺估計，對參數的約束條件做了進一步研究，並提出一種新型估計即廣義嶺型估計；對模型的點預測問題進行深入探索，得出一種基於嶺估計關于經典預測和最優預測的最優性判別條件；也對回歸診斷特別是基於主成分估計的距離進行了深入探討。
  6. It is important to apply influence analysis, computing of correlation - conefficient and charactrestic value of the design matrix and ridge regression to set models. the quality of model is developed

    數據分析：影響分析和設計矩陣的相關系數和特徵值計算及嶺回歸技術的應用對改進模型的品質起到了重要作用。
  7. 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。
  8. Nonlinear ridge regression modeling method based on radial basis function and its simulation research

    基於徑向基函數的非線性嶺回歸方法及模擬研究
  9. Genetic algorithm optimization based nonlinear ridge regression modeling method and its application in soft measurement

    優化的非線性嶺回歸方法及其在軟測量中的應用
  10. The problem of multivariate regression is resolved by ridge regression analysis, as there are multiple collinearity among the independent variables

    摘要應用嶺回歸分析可以解決自變量之間存在復共線性時的回歸問題。
  11. This article gives a program of ridge regression with sas6. 11 version, and illustrate the method of the ridge regression by an example

    本文給出了在sas6 . 11及以上版本中實現嶺回歸分析的程序，用具體實例說明進行嶺回歸的方法。
  12. The results of a series of ridge regression models constitute the core of the thesis, based on which some instructive conclusions and suggestions are achieved, as to the development strategy of r & d in china ’ s manufacturing industries

    根據實證研究的結果，本文就目前我國製造業的r & d發展戰略，特別是在r & d人力資源的優化配置等方面，提出了一些具有啟發性的政策建議。
  13. Meanwhile some statistics methods such as, anova and ridge regression were used to discuss the structure, relation types and strength of adolescent social networks, which resulted in great impact on adolescence interpersonal relationship

    本研究結合使用方差、回歸等統計分析方法探討青少年的社會網路構成、社會網路關系類型、社會網路關系力量以及青少年的社會網路規模與關系力量對青少年人際關系的影響。
  14. In this paper, an integral scheme of 16 position error calibration and autonomous alignment for three axis platform is given. it may calibrate 33 errors in all. first, determine parameters with least square estimate, then bayes method, ridge regression estimation were discussed separately

    本文設計了一個十六位置誤差標定方案，可以分離出總計33項誤差，首先用最小二乘估計方法進行參數辨識，而後，分別研究了基於bayes方法的誤差系數辨識，基於嶺估計的誤差系數辨識。
  15. The main research contents include : 1 、 this paper constructs the mixed collaborative sale forecasting model based on cpfr via integrating time series forecasting, multivariate regression and ridge regression. in addition, the model takes sale information as explanation variable

    具體研究內容包括: 1 、將時間序列預測、多元回歸、嶺回歸相結合，並將銷售信息作為銷售量的解釋變量，構建了cpfr流程下的混合協同預測模型。
  16. The main results are as follows : according to the approximate multicollinearity of matrix, the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model ' s parameter under the ellipsoidal restriction

    主要結果如下：論文第三章從設計矩陣的多重共線性角度出發，考慮回歸系數的橢球約束，獲得了橢球約束下線性模型參數的一種新型估計- -廣義嶺型估計。
  17. However, there have still some unresolved problems : first, how to determine the number and size of the clusters automatically during the clustering process. second, how to utilize the " local " ridge regression method which including multiple regularization parameters in learning rbf network. third, those clusters in irregular form ca n ' t represented by radial basis function, thus we must find some other basis functions that can describe the irregular form

    但是仍然存在幾個問題尚待解決：首先，聚類時怎樣自動確定簇的個數和半徑；其次，如何利用含有多個正規化參數的局部嶺回歸方法進行rbf網路學習；第三，如果簇的形狀是不規則的，則它很難用徑向基函數來描述，因此需要研究其它能代表不規則形狀的簇的基函數。
  18. Define a radial basis function ( rbf ) at center of each cluster and learning a two - layer neural network which consists of these rbfs, simultaneously, for the purpose of avoiding over - fitting, we make use of ridge regression method, which adding a weight penalty term including a appropriate regularization parameter on the cost function and then lead to a more smooth function

    為每一個簇的中心定義相應的徑向基函數（ radialbasisfunction ， rbf ） ，再對這些徑向基函數構成的兩層神經網路進行訓練，同時，為了避免產生過度擬合現象，本文採用了嶺回歸技術，即在代價函數中加入一個包含適當正規化參數的權值懲罰項，從而保證網路輸出函數具有一定的平滑度。
  19. Ridge and principal correlation estimation of the regression parameters and its optimality

    回歸系數的嶺型主相關估計及其優良性
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