gauss-newton method 中文意思是什麼

gauss-newton method 解釋
高斯-牛頓法
  • gauss : n. 【物理學】高斯〈磁感應強度單位，磁通量密度單位〉。 gauss's system of unit 高斯單位制。n. -age 高斯數。
  • 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. The numerical simulations demonstrate the convergency within a wide region of this method to out - perform the conventional regularization gauss - newton method

    通過與傳統的正則化高斯牛頓法相比較，顯示了小波多尺度法是一個大范圍收斂、能夠有效節省計算量的方法，數值模擬的結果也表明了方法的有效性。
  2. Actually, this is to resolve an over - determined nonlinear system including six output values and eight input values. so newton - gauss iterative algorithms is used, set up the target function in the sense of the least squares. it is discussed whether the minimal solution to the function exist and is single one while the astringency of newton - gauss method is analyzed

    對于冗餘驅動振動臺，其位姿正解是求解具有八個輸入、六個輸出的超定非線性方程組，因此本文採用了最小二乘法中的牛頓?高斯迭代法，建立最小二乘目標函數，對目標函數極小解的存在性、唯一性以及牛頓?高斯迭代法的收斂性進行了理論證明和分析，將求出的最小值作為位姿正解的最優解。
  3. The calculation of ultrasonic echo parameter by gauss - newton iterative method

    超聲回波參數的高斯與牛頓迭代法計算
  4. Algorithm of opto - electronic theodolite intersection based on gauss - newton method

    牛頓法的光電經緯儀交會測量演算法
  5. Detailed procedure of the algorithm is proposed in this paper, using levenberg - marquardt method combined with gauss - newton strategy. and the corresponding software named limap ( inverse identification of material parameters ) is self - developed for solving such a nonlinear least square problem

    本文採用levenberg - marquardt方法，同時混合了gauss - newton法的策略，詳細推導出了材料參數反求的演算法，在自行研製的參數反求軟體iimap中實現了材料參數反求這樣一個非線性最小二乘問題的求解。
  6. After training the neural network and fuzzy inference system with the method named gauss newton levenberg - marquard, we optimize these two systems with chaotic optimization method. simulated annealing algorithm and genetic algorithm can find the better solution, with the help of chaotic optimization method

    提出高斯牛頓levenberg ? manquardt方法和混沌優化相結合的演算法，利用該方法對神經網路和模糊神經網路進行了訓練，並用混沌進行了優化；還和模擬退火、遺傳演算法進行了結西安理工大學碩士論文合，幫助它們找到更好的解。
  7. L1 data fitting based on gauss - newton method

    高程擬合精度的探討
  8. Based upon the measured displacement in situ, the algorithm of identifying material parameter is proposed for rock and concrete with modified gauss - newton method

    基於位移原形觀測資料，採用修正的高斯-牛頓演算法求解最小二乘問題識別混凝土和巖石介質的彈性模量。
  9. Consequently, the convergence rate of the proposed method is superlinear. to speed up the method, we combine the structured mbfgs method with gauss - newton method to propose a hybrid method

    為了加快演算法的收斂速度，我們結合guass - newton法和結構化mbfgs法提出一種雜交方法，證明了這個雜交方法的全局收斂性。
  10. In this paper we reformulate gcp a sasystem of nonlinear equations, and the gcp is reformulated as unconstrained optimization problem, as for the optimization problem, the damped gauss - newton method algorithm of two kinds of steps is employed for obtaining its solution, and the global convergence analysis are given in this thesis

    摘要本文將廣義互補問題轉化為一個非線性方程組問題，然後建立了gcp問題的無約束優化問題的轉化形式，對該優化問題，用兩種步長下的阻尼高斯牛頓演算法來求解，並給出了兩種情況下演算法的全局收斂性。
  11. In the simulation of functions, this method performs better than chaotic optimization algorithm. with the combination of bisection - interpolation approach and gauss newton levenberg - marquardt method, we optimize neural network and fuzzy inference system. taking advantage of bisection - interpolation approach, simulated annealing algorithm and genetic algorithm find the better solution than chaotic combination method

    作者通過大量的函數模擬以及將其與牛頓高斯levenberg一manquardt方法、模擬退火、遺傳演算法等常用演算法相結合，形成的混合優化演算法，對神經網路、模糊神經網路和函數進行了優化，其優化效果明顯優于混飩以及混飩混合優化演算法。
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