極大極小逼近 的英文怎麼說

中文拼音 [jídàjíxiǎobījìn]
極大極小逼近 英文
minimax approximation
  • 極 : i 名詞1 （頂點; 盡頭） the utmost point; extreme 2 （地球的南北兩端; 磁體的兩端; 電源或電器上電流...
  • 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...
  • 逼 : Ⅰ動詞1 （逼迫; 給人以威脅） compel; force; drive; threaten 2 （強迫索取） extort; exert pressure ...
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 逼近 : 1 （靠近 接近） press on towards; gain on [upon]; approach; crowd on; close in on; draw near 2 [...
  1. The best approximations algorithm is just the method which can solve the mini - max solution of the least value of frequency deviation. because of the reason above, in this paper the best approximations algorithm is introduced into calculating the parameters of atcxo compensation network for the first time

    最佳一致逼近演算法正是能夠求解出使頻率偏差的絕對值最小的極小極大解的一種方法，為此將最佳一致逼近演算法首次應用於模擬溫補晶振補償網路參數的計算中。
  2. Judging by the different magnitude and direction of the wavelet packet coefficient modular maximum, we can select the single phase - to - earth line. the method using wavelet singularity detection theory to extract the fault time is discussed. a fault distance measurement algorithm combining wavelet analysis used for separating the character from the transient fault signal with artificial neural networks used for the nonlinear approximation from the transient character to fault distance is presented

    論文提出利用各個出線零序電流在頻帶上小波包系數模極大值的方向和大小的不同來實現故障選線，討論了利用小波分析的奇異性來判斷故障啟動時刻，提出將小波分析和人工神經網路結合，利用人工神經網路的非線性逼近能力，實現故障暫態量到故障距離的非線性映射，完成測距。
  3. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  4. Maximum entropy method is an effective smoothing one for the finite min - max problem, which, by adding shannon ' s informational entropy as a regularizing term to the lagrangian function of min - max problem, yields a smooth function that uniformly approaches the non - smooth max - valued function

    極大熵方法是解有限極大極小問題的一種有效光滑化法，它通過在極大極小問題的拉格朗日函數上引進shannon信息熵作正則項，給出一致逼近極大值函數的光滑函數。
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