robust regression 中文意思是什麼

robust regression 解釋
穩定回歸
  • robust : adj. 1. 強壯的，強健的，雄壯的，粗壯的。2. （運動等）費力的。3. 堅定的；健全的。adv. -ly ,-ness n.
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  1. Robust estimation in semiparametric regression model

    半參數回歸模型的穩健估計
  2. A relative radiometric correction algorithm based on least absolution deviation regression is also proposed in this dissertation, in which robust estimation and iteration method are used to eliminate the influence of change area

    論文根據不同時相圖像的灰度統計關系，提出了一種基於最小偏差回歸的相對輻射校正演算法，通過穩健性估計和迭代處理減少了變化區域對輻射校正的影響。
  3. Parametric estimation based on robust scatter matrix in semiparametric regression model

    半參數回歸模型中基於穩健散布陣的參數估計
  4. The parametric motion models of human face are introduced firstly and then the face tracking system based on robust regression algorithm is developed

    介紹了人臉運動的參數模型，實現了一個基於魯棒性回歸演算法的人臉跟蹤系統。
  5. Based on the review of the evolutions of stock indices and the innovations of index products, this article discussed the different methods of index replication, and then sum med up those researches on different methods, arithmetic models and their implications, including quadric programming, lineal programming, robust regression, monte carlo simulation and genetic algorithm, etc. aiming to give a technical reference for index derivatives design, index arbitrage, and indexing investment

    摘要在回顧證券價格指數演變及指數衍生品創新的基礎上，探討了指數復制的不同方法，進而從文獻綜述的角度對證券價格指數復制中涉及到的方法與演算法模型進行整理，總結了二次規劃、線性規劃、魯棒回歸、蒙特卡洛模擬以及遺傳演算法等不同方法與模型的具體應用，為指數衍生品產品設計、指數套利以及實施指數化投資策略提供技術參考。
  6. In chapter 2 a robust learning algorithm of modular neural networks based on the theory of robust regression is presented. empirical study demonstrates that the robust learning algorithm of mnn has better precision and generalization than both modular neural networks and single neural network with the same robust algorithm, when trained under the contained dada

    第二章，本文提出了一種模塊化神經網路的魯棒學習演算法，實驗研究表明模塊化神經網路的魯棒學習演算法對于污染樣本的學習能獲得較好的魯棒性能和較高的學習精度，特別是在模型較復雜時，該演算法的效果尤為明顯。
  7. Chapter 4 introduces the use of weighted least square generalized svm for optimal control systems. weighted least square svm for robust regression estimation is generalized and then used to solve n - step optimal control problem based on the svm. the weights are determined by fuzzy method

    4 .加權ls一svm可以對回歸估計問題實現魯棒估計，把它同基於ls一svm的n步最優控制想法相結合，將其擴展到基於加權最小二乘廣義svm ，並應用於n步最優控制問題，確定加權因子採用了模糊運算的辦法。
  8. In the nonparametric regression the regression function is supposed to be from some function family, such as the smoothing functions. so the nonparametric regression needs few hypotheses and is very robust

    非參數回歸一般假定回歸函數屬于某一個函數類，如常常假定回歸函數是一個光滑的函數，因此非參數回歸對模型的假設很少，最主要的優點就是模型具有穩健性。
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