有二對小葉的 的英文怎麼說

中文拼音 [yǒuèrduìxiǎoyède]
有二對小葉的 英文
bijugate
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 二 : Ⅰ數詞（一加一后所得） two Ⅱ形容詞（兩樣） different
  • 對 : Ⅰ動詞1 （回答） answer; reply 2 （對待; 對付） treat; cope with; counter 3 （朝; 向; 面對） be tr...
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 的 : 4次方是 The fourth power of 2 is direction
  1. A x - band six - cavity tro is studied. with the voltage 760kv 6ka and the magnetic field 2. 6t in the simulation, output power is about 1. 5gw is obtained, and interaction efficiency is 31 %. a noveland high accurate numerical synthetic technique is presented for determining the high frequency characteristics of six - cavity with open boundary

    對粒子模擬的輸出微波功率的作出診斷，找到讀取微波功率快速有效的方法：在電場和磁場同相的前提條件下，對時域波形進行傅立葉變換，微波功率頻域的二倍頻所對應的幅度即為微波x波段渡越輻射振蕩器的理論和實驗研究平均功率的大小。
  2. This thesis discusses the problem free - surface modeling technique of turbine blade according to the property of the runner blade and the present research achievement in free - surface modeling technique, the major study concerned are introduced below : firstly, it accomplished the study of intersection for blade - to - plane and present the method of three - step algorithms such as subdivision > iterative refinements approach ; meanwhile it solved the problem of small area extend of blade by use minimal modulus method

    本文針對水輪機葉片的特點，結合曲面造型技術的研究現狀，研究了水輪機葉片的nurbs曲線曲面造型問題。主要工作有：第一，完成了葉片與任意平面求交問題的研究，提出分割-迭代-擬合三步求交演算法。同時首次應用最小二乘擬合端部法解決了葉片的小區域延展問題。
  3. 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。
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