收斂射線 的英文怎麼說

中文拼音 [shōuliǎnshèxiàn]
收斂射線 英文
convergence ray
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. Sufficient conditions are obtained for the existence of bounded positive solutions of the n - order delay differential equations with nonlinear neutral term, on the basis of lebesgue ' s monotone convergence theorem and banach contraction theorem

    摘要利用控制收斂定理和壓縮映射原理研究了一類具非線性中立項時滯微分方程有界正解的存在性，獲得了其存在有界正解的充分條件。
  2. To quicken convergence and improve model precision, a new algorithm is presented in this paper, which utilize construct orderliness property of self - organization feature maps ( sofm ), divide system input space and adopt 1 order or 2 order local model in each subspace individually instead of a global model

    為了提高收斂速度和模型精度，本文利用自組織映射網路拓撲有序特性，對系統輸入空間進行分割，在子空間中採用多個局部一階線性模型或二階模型代替全局模型的局部化方法。
  3. Control of continuous affine nonlinear systems with prescribed exponentially convergent rate and performance by using set - valued analysis method. the concept of controlled

    用集值分析方法研究了仿射非線性連續時間系統具-指數收斂率和-性能的
  4. Traditional method can be classified two class : linear optimization technique and nonlinear optimization technique, linear optimization technique base on born approximation or rytov approximation is usually used to solve weak scattering problem

    線性優化方法採用線性近似忽略了散射體內部的多次散射，可以有效的反演低對比度的問題，但對于高對比度問題的求解則有可能不收斂。
  5. The several ones that have more lager sensitivity to embankment settlement are found out. then, aimed at the traditional three - layer bp network ' s shortages : easily getting into local minimum value and slow convergence, the modification combined momentum method with self - adaptation study velocity is made, and one improved bp network is put forward. finally, according to the results from above sensitivity analyses, the nonlinear model main parameters of each natural layer in roadbed are approximately rectified using the improved bp network technology founded on its stronger nonlinear mapping capacity and the settlement measurements

    採用非線性有限元程序，對鄧肯-張模型中8個參數與路堤沉降的關系進行了詳細分析，找到了影響沉降的主要參數；接著，針對傳統的三層bp網路具有收斂速度慢、易陷入局部極小點等不足，對其進行了修正，提出了改進的bp神經網路模型；最後，根據上述靈敏度分析結果，基於改進的bp網路模型較強的非線性映射能力和前期沉降實測資料，對路基中各天然土層的非線性模型主要參數進行了反分析修正； （ 4 ）路堤沉降計算一維法中考慮應力歷史、側向變形的研究。
  6. Before the optimization modeling, the scaling step technique is used to adjust the structural behavior, and the stability of computational convergence is ensured

    在每一步迭代過程建立優化模型之前，採用射線步技術，調整了結構的性態，保證了收斂的穩定性。
  7. The final design result can be found after iterations. before the optimization modeling, the scaling step technique is used to adjust the structure behavior, and the stability of computational convergence is guaranteed

    其中，在每一步迭代過程建立優化模型之前，採用射線步技術，調整了結構的性態，保證了收斂的穩定性。
  8. Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object

    本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。
  9. 2. on the base of detailedly analysing the fourier neural networks, we find this neural networks have the characteristic which can transform the nonlinear mapping into linear mapping. so, we improve the original learning algorithm based on nonlinear optimization and propose a novel learning algorithm based on linear optimization ( this dissertation adopts the least squares method ). the novel learning algorithm highly improve convergence speed and avoid local minima problem. because of adopting the least squares method, when the training output samples were affected by white noise, this algorithm have good denoising function

    在詳細分析已有的傅立葉神經網路的基礎上，發現傅立葉神經網路具有將非線性映射轉化成線性映射的特點，基於這個特點，對該神經網路原有的基於非線性優化的學習演算法進行了改進，提出了基於線性優化方法（本文採用最小二乘法）的學習演算法，大大提高了神經網路的收斂速度並避免了局部極小問題；由於採用了最小二乘方法，當用來訓練傅立葉神經網路的訓練輸出樣本受白噪聲影響時，本學習演算法具有良好的降低噪聲影響的功能。
  10. According to the theory of fixed - point stability in nonlinear sciences, the convergence property is discussed. it is concluded that the analytical solutions can be figured out by iteration in principle, though iterative solutions exhibit significant errors when ri approaches 0. 2

    根據非線性科學中關于映射不動點穩定性的理論，討論了迭代演算法的收斂性，表明迭代演算法在理論上可以收斂到解析解，但在
  11. The study of convergence of nonlinear mapping about bp network

    網路非線性映射收斂性的探討
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