nearest neighbor approximation 中文意思是什麼

nearest neighbor approximation 解釋
最近鄰近似法
  • nearest : ad. 最近的，最親近的
  • neighbor : n 1 鄰人 鄰居；鄰近的人；鄰國（人）。2 鄰座（的人）；鄰接的東西。3 同胞；世人。4 （對任何不知姓名...
  • approximation : n. 1. 接近；近似。2. 【數學】近似值。3. 概算，略計。
  1. Abstract : considering the second nearest - neighbor interaction and cubic, quartic anharmonic interactions simultaneously, we employ the multiple scales method combined with a quasidiscreteness approximation to calculate the lattice vibration. it is shown that the kind of nonlinear chain exhibits envelope soliton, envelope kink and envelope antikink soliton. these results can also be used to explain the experimental phenomena that the kink amplitude of the self - localized structure is determined only by the intrinsic properties of its lattices

    文摘:同時考慮次近鄰諧振相互作用和三次方、四次方非諧相互作用，利用多重尺度結合準離散近似方法去計算晶格振動行為，發現一維非線性點陣中存在包絡孤子及正扭結型包絡孤子、反扭結型包絡孤子，解釋了自局域結構的幅度只取決于點陣中的固有參數的實驗現象
  2. Abstract : the effect of correction of self - consistent potential on electronic structure in simple cubic nanocrystal particles is calculated by means of the green ' s function method in the tight - binding approximation, taking only the nearest neighbor matrix elements into account. the numerical results show that the electronic energy spectrum is shifted, the chemical potential is not equal to the atomic energy level, the electronic density at each lattice point is changed, and the variation of electronic density at surface lattice point is the largest

    文摘:在緊束縛近似下，只計及最近鄰的矩陣元，採用格林函數計算了自洽勢修正對簡立方納米晶體顆粒的電子結構的影響，發現電子能譜發生了移動，化學勢不等於格點原子能級，各格點的電子密度也發生了變化，其中以表面格點的電子密度變化最大。
  3. On the other side, we use nearest neighbor approximation to calculate gussian mixture densities, which can reduce recognition time by 6. 67 % compared with standard viterbi beam search algorithm

    另一方面，使用高斯混合概率密度的最近鄰快速估算方法，使標準viterbibeam搜索演算法的搜索速度提高了6 . 67 。
  4. Further more, we improve the nearest neighbor approximation method by calculat e mixtures ordered by likelihood of being the best scoring mixture. the likelihood is calculating from previously processed data. this improved method can reduce recognition time by 15. 56 % compared with standard viterbi beam search algorithm

    本文對最近鄰快速估算方法進行改進，在搜索過程中根據已處理過的數據統計出各個高斯混合分量產生最高對數概率的概率，並依此預測隨后的計算中最有可能產生最高對數概率的高斯混合分量，優先計算更有可能產生最高對數概率的高斯混合分量，使標準viterbibeam搜索演算法的搜索速度提高了15 . 56 。
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