步長型收斂 的英文怎麼說

中文拼音 [bùzhǎngxíngshōuliǎn]
步長型收斂 英文
stepwise convergence
  • 步 : Ⅰ名詞1 （步度; 腳步） pace; step 2 （階段） stage; step 3 （地步; 境地） condition; situation; st...
  • 長 : 長Ⅰ形容詞1 （年紀較大） older; elder; senior 2 （排行最大） eldest; oldest Ⅱ名詞（領導人） chief;...
  • 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; ...
  • 長型 : long
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  2. Trust region methods has drawn our attention increasingly as one approximating method guarantees general convergence. its basic step is as follows : first, we set trust - region radius, and then we get a trial step produced by constraint quadratical model

    信賴域方法是近年來日益受到關注的一種新的保證演算法整體收斂性的逼近方法，信賴域方法的基本步驟是首先指定一個信賴域半徑，然後用帶約束的二次模型來確定搜索方向與步長大小。
  3. The explicit method is widely used for its simpleness and little memory consumed with local time step and variable coefficients implicit residual smooth to accelerate the convergence procedure. according to yoon and jameson ' s ideas, an efficient implicit lu - sgs algorithm is carefully constructed by combing the advantages of lu factorization and symmetric - gauss - seidel technique in such a way to make use the l and u operators scalar diagonal matrices, thus the numeric algorithm requires only scalar inversion. the computational efficiency is greatly improved with this scheme

    顯式方法具有簡單，消耗內存小等優點，並採用當地時間步長、變系數隱式殘值光順等加速收斂措施，在定常流動的模擬中得到了廣泛的應用;根據yoon和jameson提出的簡化正、負矩陣分裂，構造的l 、 u運算元只需進行標量對角陣求逆，極大提高了流場數值求解過程的計算效率;採用newton類型的偽時間子迭代技術使時間推進精度提高至二階。
  4. The paper also constructs the model of the control of voltage and reactive power in substation by fnn. meanwhile, the paper discusses the calculating method using bp calculating arithmetic, and adopts the changing step method, adding momentum item method and changing slope method to quicken the speed of convergence in the calculating process

    本文利用模糊神經網路構造變電站的電壓無功控制的模型，並對基於bp演算法的變電站電壓無功模糊神經網路的計算方法進行了論述，並採用了變步長、加動量項、變斜率等改進的bp演算法，加快了訓練的收斂速度。
  5. Convergence is accelerated by means of local time stepping, implicit residual smoothing. the numerical results have been obtained for the flows over n ac ago 12 or rae2822 airfoils

    並且基於點雲離散結構，引入了當地時間步長、殘值光顧等加速收斂技術，數值模擬了對稱和非對稱翼型繞流，獲得較好的計算結果。
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