marquardt 中文意思是什麼

marquardt 解釋
馬夸特
  1. 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。
  2. The aim of projective reconstructing is to estimate the position and direction of cameras through matching points in different images so lay the foundation for further reconstructing. on the basis of current methods of projective reconstructing, we used the levenberg - marquardt method to optimize the result of linear method so the precision is be improved, and we use the bundle adjustment method to entirely optimize the structure of scene and projective matrixes

    本文在研究已有射影重建演算法的基礎上，利用l - m演算法對基於基礎矩陣的射影重建演算法得到的線性結果進行優化，提高了演算法的估計精度和穩定性，並在求得所有圖象對應的投影矩陣后利用bundleadjustment方法對空間結構及投影矩陣進行全局優化。
  3. A soft sensor modeling algorithm based on improved fuzzy neural network is presented. the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation. in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg - marquardt algorithm, and the others are trained by gradient descent algorithm

    提出了一種改進的模糊神經網路軟測量建模方法，採用規則化的平均輸出隸屬度函數作為模糊基函數進行反模糊化運算；在訓練網路時，部分參數採用levenberg - marquardt演算法來訓練，另一部分採用一階梯度下降法。
  4. In the application of mini - micro - robot visual perception, there is a need for fish - eye lenses for capturing wide field of view for navigation. though fish - eye lenses provide a wide field of view ( 180 ), they introduce significant distortion in images and the acquired images are quite warped, which makes conventional camera calibration algorithms no longer work well. this paper presents an accurate calibration framework for fish - eye lens ( a high distortion lens ) camera stereo vision system. the accurate calibration model is formulated with radial distortion, decentering distortion and thin prism distortion based on the fisheye deformation model. using fish - eye and non - linear camera model, the author employs levenberg - marquardt method to realize precise non - linear calibration for wide - view - scene dense depth image recovery

    魚眼鏡頭成像立體視覺系統在微小型機器人視覺導航和近距離大視場物體識別與定位中有著廣泛的應用.盡管魚眼鏡頭攝像機具有很大的視場角（接近180 ） ，但同時也引入嚴重的圖像變形，常規的攝像機標定方法無法使用.該文提出一種標定魚眼鏡頭攝像機立體視覺系統的方法.在魚眼鏡頭變形模型的基礎上，通過考慮魚眼鏡頭成像的徑向變形、偏心變形和薄棱鏡變形，建立了魚眼鏡頭成像的精確成像模型，然後，利用非線性迭代演算法，精確求解攝像機外部參數、內部參數.實驗表明，使用該方法得到的立體視覺系統參數滿足精確恢復大場景稠密深度圖的要求
  5. Backpropagation model of the ann is used in knowledge storage and the leverberg - marquardt algorithm based on numerical optimization is used in training the neural networks

    採用了基於數值優化的leverberg - marquardt （簡稱lm ）演算法，對網路進行訓練，完成知識庫的組建。
  6. Fan and yuan [ 6 ] uses another method that has proved under the local error bound condition, if we choice the parameter as the norm of the function, the sequence produced by the levenberg - marquardt method converges quadraticlly to a solution of the system of the equations

    如此選取參數有一些不足之處。范、袁在[ 6 ]中用另一種方法證明了當迭代參數為當前迭代點處函數值的模時， levenberg - marquardt方法具有二階收斂性。
  7. Recently, yamashita and fukushima [ 4 ] show that the sequence produced by the levenberg - marquardt method converges quadraticlly to the solution set of the equations, if the parameter is chosen as the quadratic norm of the function and under the weaker condition than the nonsingularity that the function provides a local error bound near the solution. however, the quadratic term has some unsatisfactory properties

    最近yamashita & fukushima [ 4 ]提出，在弱於非奇異性條件的局部誤差界條件下，如果選取的迭代參數為當前迭代點處函數值模的平方，則levenberg - marquardt方法產生的迭代點列二階收斂于方程組的解集。
  8. Here we consider the choice of the parameter as the norm of the gratitude of the function. we prove under the local error bound condition that the levenberg - marquardt method with this parameter converges quadraticlly to a solution of the system of the equations. and we also present two globally convergent levenberg - marquardt algorithms using line search techniques and trust region approach respectively

    我們提出選取迭代參數為當前迭代點處函數梯度的模，在局部誤差界條件下， levenberg - marquardt方法依然具有二階收斂性，並考慮了線搜索和信賴域技巧的levenberg - marquardt方法，分析了其全局收斂性。
  9. In addtion, we introduce some new methods and theories for solving systems of nonlinear least square problems. a new levenberg - marquardt method is produced to solve the high dimemsion portfolio selection models, we can solve the problem quickly and get better results than before

    此外，在本篇論文中，我們還介紹了求解非線性最小二乘問題的一些最新方法，並將levenberg - marquardt方法推廣到組合證券投資模型中，得到了一種新的求解組合證券投資模型的解的新演算法，並分析了其收斂性，得到了較好的數值結果。
  10. We compose a neural network in which the input signals are the frame substructure natural frequencies and mode shapes, and output signals are the submatrix scaling factor. the levenberg - marquardt algorithms is applied to modify the weight matrices of neural network

    框架子結構在動載作用下的自振頻率和模態作為網路的輸入，子矩陣參與系數作為網路的輸出，用levenberg一marquardi演算法訓練網路。
  11. An updated - latin hypercube sampling and calculated data based on wave motion theories are adapted for efficient generation of the patterns of training the neural network. the levenberg - marquardt algorithms was applied to modify the weight matrices of neural network

    採用修正的latin超立方采樣技術和波動理論的計算數據來形成網路的輸入和輸出數據，用lm演算法訓練網路，改善了網路訓練的收斂性能。
  12. Levenberg - marquardt method is one of the most important methods for solving systems of nonlinear equations

    Levenberg - marquardt方法是求解非線性方程組的最重要的方法之一。
  13. This paper presents a new model to predict the annual maximum ice - thickness by means of combining levenberg - marquardt neural network ( nn ) with time serial method

    本文將l - m神經網路與時序分析方法相結合提出一種新的模型，用於年極值冰厚預測。
  14. Ann is trained through fast bp algorithm with variable learning rate that mixed with momentum factor and levenberg - marquardt algorithm. these algorithms can improve network ' s convergence speed

    演算法上採用含有動量因子的自適應調整學習率的變學習率演算法或levenberg一marquardi優化方法對網路進行訓練，以提高網路的收斂速度。
  15. 2d continues gabor wavelets and levenberg - marquardt ( lm ) algorithm are used to automatically abstract features by optimize gabor wavelet ' s parameters of translation, orientation, and scale to make it approximates a local image contour region

    論文採用了二維連續gabor小波，通過levenberg - marquardt （ lm ）優化方法對小波濾波器的位置、尺度、方位等參數進行優化，使之與圖像的輪廓特徵一致，實現自動提取目標特徵的目的。
  16. Then a new system of nonlinear equations can be formed from the variation gray of same point in multiple images and the optimum solution of the system can be obtained from gauss - newton and levenberg - marquardt algorithms, so that the normal vector at that point of the surface can be defined

    再根據多幅圖像上固定位置一點的灰度值變化列多個非線性方程，以gauss - newton演算法和levenberg - marquardt演算法為基礎求非線性方程組的最優近似解，將選取點的法向量確定下來。
  17. 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。
  18. Based on thorough analysing the factors which affect the seismic damage of single - story reinforced concrete industrial building, this paper introduces two kinds of methods which are applicable to prediction of seismic damage for single - story reinforced concrete industrial building. one is bp ( back propagation ) neural network method, which is based on the theory of artifical neural network. in this method, lm ( levenberg - marquardt ) optimization algorithm is applied to improve the performance of standard bp algorithm. the other is grey fixed weight cluster method, which is based on the theory of grey system

    本文在充分分析單層鋼筋混凝土柱工業廠房震害影響因素的基礎上，提出了兩種用於單層鋼筋混凝土柱工業廠房震害預測的新方法。一種是基於人工神經網路理論的bp神經網路方法。在bp神經網路方法中，採用改進的bp演算法（ bplm演算法）對網路進行訓練，有效地改善了標準bp演算法的不足之處。
  19. 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。
  20. In chapter five, algorithm of load identification is discussed in detail. levenberg ? marquardt algorithm and generalized regression neural network are used to identify the position and degree of the one load on the surface of the airfoil, correlation analysis algorithm of multi - load identification is also proposed in the paper

    第五章重點論述了系統設計中的載荷識別演算法，採用人工神經網路lm - bp演算法及廣義回歸網路對單個載荷大小、位置進行了判定，提出了基於相關分析的多載荷識別演算法。
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