quasi-newton method 中文意思是什麼

quasi-newton method 解釋
擬牛頓法
  • quasi : adv 1 在某一意義上，有點，幾乎。2 恰如，宛如，就像是。3 就是說，即〈略作 q 或 qu 尤用以作語源上的...
  • newton : n 1 牛頓〈姓氏，男子名〉。2 Sir Isaac Newton 牛頓〈1642 1727，英國科學家〉。3 〈n 〉【物理學】牛...
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. Table 2. 1. 3. further convergence property 3. 1 algoithm the convergence property of diagnal sparse quasi - newton method is proposed

    另外，對hesse矩陣為稀疏的目標函數，該演算法也具有較快的收斂速度。
  2. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  3. In this method the stress resultants of concrete in the cross section are evaluated by accurate integrating method and the resultants of structural steel and reinforcing bars are obtained using the fiber element method. the final nonlinear algebraic equations are solved using an iterative quasi - newton procedure based on the regula - falsi numerical scheme

    應用該計算機方法，截面上的混凝土內力採用精確的積分方法求得，結構鋼與鋼筋的內力則由纖維元方法計算，而最終的非線性代數方程組由分離變量的擬newton - raphson迭代方法求解。
  4. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  5. Global convergence of the non - quasi - newton method for unconstrained optimization problems problems

    基於非擬牛頓方法無約束最優化問題的全局收斂性
  6. The structured bfgs method is a quasi - newton method for solving the nonlinear least squares problem

    解非線性最小二乘問題的結構化擬newton方法是求解無約束最優化問題的標準擬newton方法的推廣。
  7. Using the conic function model local approximation, w. cdavidon ( 1980 ) proposed a class of iterative algorithms with modified matrix combining function value, furthermore under the theory d. c. sorensen has used local quadratic approximation method, then applying collinear scaling idea improving on the above algorithm and generalizing it, getting a class of collinear scaling algorithm, unifying former quasi - newton. in the paper, using local quadratic approximation method, the first, constructing the new collinear scaling gene, getting a class of the new collinear scaling algorithm with briefness and numerical stability, ., we discusses some properties of the algorithm and its local linear convergence, q - superlinear convergence and the whole convergence ; secondly we have made numerical experimentation and numerical analysis ; the last, we have done much discussion for collinear scaling idea and given the several new collinear scaling algorithm

    本文的工作就是基於局部二次逼近原理，首先通過構造新的共線調比因子，得到了一類新的更簡潔，數值穩定性更好的共線調比演算法，進而我們給出了本共線調比演算法的局部收斂性，全局收斂性以及演算法q -超線性速度的理論證明；其次，用經典的無約束優化五大考核函數就本共線調比演算法進行了數值試驗和數值分析；最後，就局部二次逼近思想，進行共線調比演算法思想進行更廣泛的討論，給出了幾個新共線調比演算法。
  8. For the quasi - newton type trust region method based on the conic model solving unconstrained optimization, horizon vector of the conic medel is proposed, the unique optimal parameter is determined and the numerical results are given in this paper

    摘要對于求解無約束優化問題的錐模型擬牛頓型信賴域方法，本文主要討論了水平向量的選取及最優參數的確定，並給出了數值試驗結果。
  9. The generalized quasi - newton method for nonconvex unconstrained optimization problems

    一般無約束優化問題的廣義擬牛頓法
  10. However, conventional solution methods such as newton iterative method, quasi - newton iterative method are initialization dependent and maybe could not reliable converge

    傳統的求解方法如牛頓迭代法和擬牛頓迭代法都是典型的局部收斂性方法。
  11. In chapter 2. we give a class of new algorithms for nonlinear programming problems with linear constrained by combining the gradient projection method with non - quasi - newton method which was given in paper [ 2 ]. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    在第二章中我們將梯度投影與文[ 2 ]中的非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類梯度投影非擬牛頓演算法。
  12. In chapter 3, we give a class of new algorithms with inexact search for nonlinear programming problems with linear constrained by combining the generalized projection method with non - quasi - newton method. it ' s global convergence and the superlinear convergence are proved under suitable conditions

    新演算法推廣了文[ 1 ， 2 ]中的結果。在第三章中我們將廣義投影演算法與非擬牛頓法相結合，給出了求解線性約束非線性優化問題的一類廣義投影非擬牛頓演算法。
  13. A quasi - newton method on convex optimization

    求解凸規劃問題的一種擬牛頓演算法
  14. Attitude control of a space manipulator using quasi - newton method

    基於擬牛頓演算法的空間機械臂姿態優化控制
  15. Smoothing quasi - newton method for solving semi - infinite programming with application to opf problems

    法及其在最優潮流中的應用
  16. Quasi - newton method

    擬牛頓法
  17. Convergence analysis of a successive approximation quasi - newton method for solving nonlinear complementarity problems

    求解非線性互補問題的逐次逼近擬牛頓法的收斂性分析
  18. Based on work of w. clem karl etc., the quasi - newton iteration method for solving the optimization problem of sar imaging is derived, the sparse projection matrix tsof sar imaging is constructed, by replacing the original sar imaging projection matrix t with ts, the computation efficiency of peak - enhanced sar imaging is improved greatly

    在w . clemkarl等工作的基礎上，導出了求解峰值特徵增強sar成像優化問題的準牛頓迭代方法，建立了sar成像稀疏投影矩陣t _ s ，通過用t _ s代替原始sar成像投影矩陣了，有效提高了峰值特徵增強sar成像方法的計算效率。
  19. Firstly, we simply introduce the scope, value and developement of the sparse quasi - newton method for unconstrained optimization problems

    第一章為緒論簡要介紹稀疏擬牛頓法的提出，研究情況及研究價值。
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