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non-gaussian distribution中文什么意思

發(fā)音:   用"non-gaussian distribution"造句
  • 非高斯分布
  • non:    adv. 〔拉丁語〕非，不是 (＝not)。 non a ...
  • gaussian:    adj. 高斯的。
  • distribution:    n. 1.分配，分發(fā)，配給；分配裝置[系統(tǒng)]；配給品；配 ...
  • gaussian distribution:    高氏分布; 高斯分布(曲線), 正態(tài)分布; 高斯分布/正態(tài)分布; 高斯分配; 正態(tài)分布
  • bivariate gaussian distribution:    二元高斯分布
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  1. Although the above two methods own pretty good filtering performance when system noise and observation noise are non - gaussian , their filtering performance will descend or even diverge when non - gaussian distribution occurs
    上述兩種方法在當(dāng)系統(tǒng)噪聲和觀測噪聲滿足高斯分布特性的時(shí)候具有較好的濾波性能,而對(duì)于非高斯分布噪聲上述濾波方法的指標(biāo)下降,甚至出現(xiàn)發(fā)散。
  2. The article analyses whether the theory of emh market can explain some phenomena on capital market . we provide some evidence for the non - normal , non - gaussian distribution , auto - correlation , non - linear and heteroskedasticity character of stock price
    文章就有效市場假說( emh )對(duì)現(xiàn)實(shí)資本市場的解釋能力進(jìn)行了分析，發(fā)現(xiàn)我國股票市場的股價(jià)收益率序列具有非正態(tài)性、自相關(guān)性、非線性、異方差性等特點(diǎn)。
  3. Based on unsupervised learning , sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels . since the basis function of sparse coding has build - in clustering property , it increases the inter - class variations of the features
    稀疏編碼是一種基于非監(jiān)督學(xué)習(xí)的算法，它適合描述具有非高斯分布的數(shù)據(jù)對(duì)象，能夠有效地消除圖像象素點(diǎn)之間的冗余，并具有內(nèi)在的聚類特性。
  4. Non - gaussian distribution and noniinear , auto - - correlation and heteroskedasticity character of stock price and return rates , presented that main factors leads to the failure of emh on chinese stock market is emotionai action , information - - based herding , over - - reaction and under - reaction to information of investors and noniinear , non - equiiibriurn propefty of stock market
    提出有效市場理論失靈的主要原因是投資者的非理性行為，信息反映的羊群效應(yīng)，投資者存在反應(yīng)過度和反應(yīng)不足現(xiàn)象，股票市場的非均衡特征和股票市場的非線性特征。
  5. Based on survey data from some researches , dead load model and vehicle load model are presented in this paper . it is quite evidence that dead load model is gaussian distribution , and vehicle load is non - gaussian distribution , which operates general traffic and rush hour traffic states
    本文在國內(nèi)外各種調(diào)查資料的基礎(chǔ)上，分別引入恒荷載模型及車輛荷載模型，其中恒荷載呈正態(tài)分布：車輛荷載則為非正態(tài)分布，并將其分為一般運(yùn)行狀態(tài)及密集運(yùn)行狀態(tài)兩種情況，分別建立服役期最大值分布函數(shù)。

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