降水有效指數 的英文怎麼說

中文拼音 [jiàngshuǐyǒuxiàozhǐshǔ]
降水有效指數 英文
precipitation effectivene (p-e) index
  • : 降動詞1. (投降) surrender; capitulate 2. (降伏) subdue; vanquish; tame
  • : 名詞1 (由兩個氫原子和一個氧原子結合而成的液體) water 2 (河流) river 3 (指江、河、湖、海、洋...
  • : 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
  • : Ⅰ名詞(效果; 功用) effect; efficiency; result Ⅱ動詞1 (仿效) imitate; follow the example of 2 ...
  • : 指構詞成分。
  • : 數副詞(屢次) frequently; repeatedly
  • 有效 : effective; valid; efficacious
  • 指數 : 1. [經] (比數) index number; index 2. [數學] exponent
  1. Tricepstrum equalization algorithm ( btea ) and super - exponential ( se ) algorithm based on block data estimation is studied, and these algorithms use hos explicitly. their performance, such as estimation variance and bias, is analyzed. a kind of sparse cross cumulant and sparse equalizer is proposed to simplify the se algorithm, and the simulating results show efficient reduction in complication

    ?研究了幾種直接使用高階統計量的演算法,包括基於據段估計的倒三譜演算法和超演算法,分析了演算法的估計方差和偏差等性能;由於超演算法計算量較大,不利於實時均衡,利用聲通道的稀疏性,提出了一種基於稀疏互四階累積量和稀疏權的演算法,低了超演算法的計算量。
  2. First, introduce the reasons and character of current banking m & a, then summarized the former studies of the three ways of m & a to efficiency gaining : size versus size economy, m & a versus banks efficiency, and m & a versus shareholders wealth. then introduce the research approaches of m & a efficiency gaining, especially the approaches of m & a versus banks efficiency, such as parametric frontier approaches and non - parametric frontier approaches. in the following, through roe model and dea model to study the relations between size and efficiency, finding : middle size banks efficiency is higher, larger banks have n ' t scale economy, small banks have low em, and through directly analyzing m & a efficiency of four commercial banking m & a case in china, finding : the past - merged efficiency of shanghai pudong development bank has been improved, and others have been deduced, but after three years the efficiency increased little by little

    首先,分析了當前銀行並購的主要原因、特徵以及我國銀行並購的現狀與特點;接著對銀行平的概念進行分析,綜述了國外對銀行並購與率獲利的三方面的研究(考察銀行的規模與率這種間接方式、比較並購行並購前後的率以及並購行與非並購行的率和考察上市銀行並購前後股東財富的變化這兩種直接方式)的關文獻;再次對銀行並購與銀行率獲利的分析方法進行了介紹,其中詳細地研究了前沿分析法:參分析法和非參分析法,並出了這些方法的特點;然後運用財務比率分析法和dea方法對我國商業銀行規模與率從間接角度對銀行並購產生的率獲利進行了實證研究,結果發現:中等規模的商業銀行的率最佳,而小規模的銀行的em值較低,同時大規模的商業銀行的規模無;同時利用我國已發生的四個銀行並購案從直接的角度對我國商業銀行並購的率獲利進行分析,結果發現:除上海埔東發展銀行在並購後率提高,其他三家銀行並購后的率都所下,但並購后第三年率又逐漸回升。
  3. 4. dicussing soil pressure ( supposed as p ) and level displacement ( supposed as s ) in condition that consideration time performance, the relation is p = ae, when the defomation of wall has evidently effect on the soil pressure. 5. the deformation of wall ( supposed as sw ) leads to soil layer sedimentation ( supposed as pw ), the research find pw = 1. 22sw 6. the artifical neural networks has vast and applied foreground in the information construcion of deep foundation excluding the accidental factor

    4 、探討了考慮時間應的土壓力和位移關系曲線,認為在當墻體的變形對土壓力分佈產生明顯影響時,二者間的關系可用一來表達: p = ae ~ ( ( / s ) ) 5 、墻體側向變形,導致墻後土體產生沉,在本次研究中,排除掉基坑施工因素的影響,由墻體變形導致的墻後土體沉,二者具p _ w = 1 . 22s _ w關系; 6 、將基於時間窗口滾動多步神經網路預測方法和應用於深基坑工程墻體變形的預測工作,具較高的預測精度,該方法在巖土工程變形預測方法中具廣泛的應用前景。
  4. Secondly, by using the great fem programme, analyzes the mechanism of bearing and deformation of rigid - soften composite piles foundation. draw a conclusion : exist a specific value, when the number of the rigid pile less than it, increase the number of the rigid pile, effect of reducing the settlement of rigid - soften composite piles foundation is distinct, on the contrary, when the number of the rigid pile more than it, increase the number of the rigid pile, effect of reducing the settlement of rigid - soften composite piles foundation is indistinct. finally, analyze and sum up some important design ' s constitutes of the rigid - soften composite piles foundation

    其次,採用限元計算程序,對剛柔復合樁基進行了三維限元分析,考察了在不同荷載平下,不同剛柔性樁比例的情況下,復合地基的平均沉量、土體的沉等值線和應力等值線以及剛性樁和柔性樁樁頂荷載比值隨不同基礎荷載平的變化規律,得出了一些具實際導意義的結論:當總樁不變,長樁比例增加到一定程度時,再增加剛性長樁的量對地基整體沉幾乎沒什麼果;剛柔樁分佈一定,柔性樁實際承載力小於其極限承載力時,外加荷載的增加,剛性單樁和柔性單樁所承當荷載的比值基本不變。
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