factor of momentum 中文意思是什麼
factor of momentum
解釋
動量因子-
( 2 ) for cross - sectional risk factors, both capm and fama & french three - factor model cannot account for profitability of medium and short term momentum strategies, but for long - term strategies, may explain a little
（ 2 ）截面風險補償方面： capm與fama - french三因子模型皆無法完全解釋中短期慣性策略之利潤表現，而對較長期的策略獲利的解釋力有所增強。 -
These various forces combine so that in times of falling prices the economy tends to lose momentum and the " feel good " factor remains elusive
上述各種因素結合起來，令經濟在物價下跌期間失去增長動力，市民對現狀亦難以感到滿意。 -
( 3 ) for time - varying risk premium and industrial momentum, serial autocorrelation of factor returns including size, be / me, and industry contributes mostly to momentum profits, especially industry momentum
（ 3 ）時變風險溢價與行業慣性方面：公司規模、凈值市值比以及行業等因子的序列自相關性是慣性策略獲利性之主要驅動因素，尤以行業慣性顯著。 -
The concept of symmetry plan of electron spin space was put forward in this paper. the problems on eigen state of electron spin and average value of spin angular momentum projection and also on the problem of phase factor of the spin - state were analyzed and discussed
本文提出了電子自旋空間的對稱面概念，分析了電子自旋的本徵態以及電子自旋角動量分量的平均值的問題，並討論了自旋態的相因子問題。 -
Using the first order and the second order derivative information of the network error function to the learning rate factor / / and the momentum factor ?, dynamic optimization of the learning rate factor / / and the momentum factor ? is obtained during the network training process, which efficiently speeds up the network learning rate
並利用網路誤差函數對訓練速率系數和沖量系數的一階和二階導數信息，在網路訓練過程中動態優化調整訓練速率系數和沖量系數，有效地加快了網路的訓練速度。 -
In chapter three, the momentum integral equations and their solutions of two - phase fluids in boundary layer are given and the no - disturbance solutions on the surface of vane are required. leading into the disturbance factor of no - dimension and thickness coefficient ks in boundary layer, the numerical method of finite approximation is used to calculate the boundary layer
第三章給出了固液兩相流泵的邊界層動量積分方程及其解的一般表達式，並得到葉片表面的無擾動解；引入了無量綱擾動因子及邊界層厚度系數k _ ，給出了用於邊界層計算的有限次逼近的計算方法。 -
Firstly, based on n - s equation, the momentum differential equation （ contained centrifugal force ） is derived by simplification in boundary layer and then integrates the differential equation over the thickness of the boundary layer, the momentum integral equation is deduced. the dimensionless centrifugal factor is introduced, then the solution of the momentum integral equation is obtained. the dimensionless group is introduced to determined separation of boundary layer
本文首先根據粘性流體力學的一般方程，通過在邊界層內進行量級比較，在所限定的范圍內得到了含有離心力的邊界層動量微分方程並給出其滿足的邊界條件，然後對該微分方程在邊界層內積分得到離心泵葉輪邊界層動量積分方程，在求解過程中引入了無量綱離心因子，並作了相應合理的假設，得出積分方程解的一般表達式，並引入以邊界層動量損失厚度為主要特徵量的無量綱參數對邊界層分離進行評價。 -
Realization of improved bp algorithm - single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and the generator has some functions that the number of neuron in first and second layer and theirs related training parameters such as learning rate. momentum factor a and the value of sum error e can all be self - defined by the users ; connection weights and threshold in each layer ' s neuron training data and teaching signals can also be input or modified in the friendly interface
生成器功能是:網路結構中的第一、二層神經元個數和訓練參數中的學習速率粉，動量因子a和期望誤差值:可由用戶在一定范圍內自定義;各層的權值、閥值、網路初始樣本值及教師值可在友好的界面下輸入、修改。 -
By widening the width of gaussian transverse momentum distribution in string fragmentation. luciae reproduced the o mesons rapidity distribution, transverse mass distribution, and also the enhancement factor of o meson in pb - pb relative to p - p collisions
介子； 『 』 『土影響不人， lu 1模擬的結果同時大明：通過加寬弦碎裂為叨對的內稟描動量分佈的寬度， 。 -
In addition, super - short term strategies also earn significantly positive returns. nevertheless the contrarian strategies under long formation horizons and holding horizons ( beyond 36 weeks ) may yield significantly positive returns. we also find, considering markert factor ( market return, cross - sectional variance of equity returns ) and characteristic of individual stock ( trading volume, firm size, price, price / earnings, be / me ), there exist clearer and more significant patterns of profitability in momentum or contrarian strategies
具體而言，大體上以中短持有期的慣性策略（持有期4 ? 24周）有較顯著之利潤，超短期形成期的慣性策略在1 ? 12周的獲利性亦很顯著，而較長形成期（ 36周以上）與較長持有期搭配的反向策略則可能獲得顯著的正收益。 -
And the technology can also control the vector of a primary jet, the ratio of momentum between the synthetic jet and the primary jet is a main influence factor, and the vectoring control of primary jet is also effected deeply by the position and the frequency of actuators
應用合成射流技術可以有效控制宏觀低速流流動方向，其控制強度由宏國防科學技術大學研究生院學位論文觀流動與合成射流的動量比決定，而合成射流激勵器的工作頻率以其布置位置對主流的控制效果影響很大。 -
Besides the adaptive adjust of learning rate and momentum factor, this algorithm can give appropriate permitted convergence error with adaptive adjust in the course of learning. so it overcomes the faults of the controlling means used in traditional bp algorithm
該演算法在學習過程中，除了對學習率和動量因子進行自適應調整外，還能根據網路的實際訓練情況自適應確定允許均方誤差的值，從而克服了傳統的bp演算法在學習過程中採用的控制方法存在的缺陷。 -
The actual prediction ability of bp network model is improved and training velocity is increased by adding momentum factor and using the weight control calculation in the bp network model
Bp網路模型在加入動量項和引入權值控制演算法進行改進后，不但預測能力有所改善，網路的訓練速度也有了很大的提高。 -
Section of ann theory and its application study : after comparing study various model ' s algorithm, an improved bp algorithm has been adopted, i. e. a momentum factor a has been inducted. it can utilize the learning result of previous step during the training process, which can accelerate the training process of traditional bp algorithm
神經網路理論及應用研究部分:演算法研究?對各種網路模型演算法作出比較后，採用一種基於傳統bp演算法的改進演算法，即在計算過程中引入動量項a項以利用上一步學習結果，加快了傳統bp演算法的學習速度。 -
This paper focuses on the theories and controller designs of forward neural netwoks ? bp network. at first, the structure and algorithms of bp network are deeply researched, the ralations between momentum factor and convergence speed 、 convergence accuracy are revealed and a kind of improved bp algorithm is presented. then the identification method based on bp network with adaptive learning rate is studied and the simulaton indicates it can adaptively track the plant
本課題主要針對前向神經網路? ? bp網路理論與控制器設計進行研究。首先重點對bp網路的結構和學習演算法進行了深入研究，揭示了動量因子與網路收斂速度、收斂精度之間的關系，並提出了一種改進的演算法。然後研究了採用自適應學習率bp網路的辨識方法，模擬說明其可以自適應地跟蹤辨識被控對象。
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