非自回歸 的英文怎麼說

中文拼音 [fēizìhuíguī]
非自回歸 英文
nonautoregression
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 回 : 回構詞成分。
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  1. Dr. cornish is delighted about the release saying, " this is one seriously lucky bird, having survived, several life - threatening situations

    鄺力存博士很高興看見麻鷹回歸大自然。它真的非常幸運，能熬過幾次足以致命的危機。
  2. Environmentalists have their own eschatology ? a vision of a world not consumed by holy fire but returned to ecological balance by the removal of the most disruptive species in history

    環保人士有他們自己的末世論，他們看到的世界並非被神聖的火吞噬，而是藉移除史上破壞力最強的物種，重新回歸生態平衡。
  3. For example, robert gorton ( 1970, 1975, 1978 ) estimated the american phillips curves under this assumption. due to the uncertainty of the estimates of phillips curves, the issue whether or not phillips curves can provide guidance for macroeconomic policy makers is now being argued

    在這一章里，確定了通貨膨脹率序列的單位根過程，估計了通貨膨脹壓力的門限自回歸方程，證實了價格調整非對稱的存在，同時也證明了中國菲利普斯曲線的非對稱。
  4. Since unification with our motherland, the pla has been giving us tremendous support by participating in our annual sar exercises, which is very important to further improving our search - and - rescue procedures and system, " the director - general of civil aviation, mr norman lo said

    自從回歸以來，民航處得到駐港部隊鼎力支持，參與有關的搜救演習，對完善我們的搜救程序和系統非常有幫助。
  5. So, the real exchange rate of rmb is chosen as the objective of this study. firstly, the international exchange rate theories are reviewed, on the basis of which one - variable autoregressive models of time series are put forward. then, according to analyzing real exchange rate theories and the properties of rmb ' s real exchange rate, a linear autoregressive model and two nonlinear regime switch models are selected as tools for this research

    首先，本文對匯率的理論研究進行了回顧，提出了使用時間序列的一元自回歸模型，然後，在對實際匯率的理論研究，以及人民幣實際匯率本身所具有的特點進行分析的基礎上，選擇使用線性自回歸模型和非線性的制度轉換模型中的自我激勵閾值自回歸模型和平滑過渡自回歸模型來描述實際匯率的動態行為特徵。
  6. The bamboo - is one kind of extremely good plant, it becomes a useful adult the time to be short, generally only needs three to seven years, therefore vigorously develops the bamboo system product substitution tree city product, has to the ecological environment protection, in recent years the various countries all was advocating the protection environment, the bamboo product conforms to the people to protect the environment the demand, simultaneously, the bamboo product can take to you the natural breath, has increases the primitive ecology flavor, has plants returns the nature the happy feeling

    竹-是一種非常好的植物，它成材期短，一般只需三至七年，因此，大力開發竹制產品來替代樹木產品，有利於生態環境的保護，近年來，世界各國都在提倡保護環境，竹涼席、竹餐墊更符合人們保護環境的需求，同時，竹製品更會帶給您自然的氣息，更是增添原始生態韻味，有種回歸大自然的美好感覺。
  7. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  8. Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results, monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection, cerebral hemorrhage as well as cerebral infarction in jinhua

    過去在選擇預報因子時沒有考慮預報因子間的相關性，挑選的預報因子由於非正交使回歸計算的結果不穩定，給計算帶來一定的誤差。針對這一問題，文章將一元線性回歸分析、自然正交函數法（ eof ）和逐步回歸方法結合起來，建立了南京感冒以及金華的上呼吸道感染、腦出血和腦梗塞的發病指數預報模型。並將模型結果與逐步回歸法建立的模型進行比較。
  9. Moreover, in this paper we study the unstable autoregressive model for first order [ ar ( 1 ) ] with heavy tailed innovations

    此外本文還對具有重尾分佈的一階自回歸非平穩[ ar （ 1 ） ]模型進行了研究。
  10. In this paper, the limit theory is discussed and the main problems are solved as followed : 1. we will obtain asymptotic normality and consistency of mle for agarch model introduced by wu shuosi and fang zhaoben ( 2000 ). 2

    對于吳碩思和方兆本（ 2000 ）提出的非對稱廣義自回歸條件異方差新模型，證明了它的極大似然估計（ mle ）的漸近正態性和相合性。
  11. This paper uses arch model method in econometrics to set up an auto - regression model with different variance characteristic, which catches to the signal of herd behavior that can be comparatively sensitive. basing on the sample stocks of the index 180 of sse for studying sample, author conduct empirical tests on the non - linear relations between csad ( cross - sectional absolute deviation of returns ) and the market returns to judge whether the herd behavior in the stock market of china is remarkable. according to the empirical analysis, author finds, both in the up - market and down - market, certain herd behavior exist on the stock market of our country

    本文運用計量經濟學中的arch模型方法，建立了一個能較為敏感的捕捉到羊群行為信號的具有異方差特性的自回歸模型，以上證180指數樣本股為研究樣本，通過檢驗個股截面收益的絕對偏差（ csad ）與市場組合收益的非線性關系，來判斷我國股市羊群行為是否顯著，通過實證分析，我們發現，無論是市場上漲階段還是下跌階段，我國股市都存在一定的羊群行為，同時，本文通過比較分析，對實證結果進行深入的剖析，對羊群行為的形成原因進行簡要的分析，並對如何控制羊群行為提出了一些政策性建議。
  12. The use of wave packet to analyze the dynamics of quantum mechanical systems is an increasingly important method to the study of the classical - quantum correspondence. using the quantum gaussian wave packet analysis method, we calculate the autocorrelation function of the rectangular billiard, the peak positions of the autocorrelation function match well with the periods of the classical periodic orbits, which show that the period of the classical orbits can be produced by the time - dependent quantum wave packet method. we also discuss wave packet revivals and fractional revivals in the rectangular billiard, the results show that there are exact revival for all wave packet at each revival time. we find additional cases of exact revivals with short revival times for zero - momentum wave packets initially located at special symmetry point inside the billiard

    利用波包分析量子力學體系的動力學行為在研究經典和量子的對應關系方面越來越成為一個非常重要的方法.利用高斯波包分析方法，我們計算了矩形彈子球體系的自關聯函數，自關聯函數的峰和經典周期軌道的周期符合的很好，這表明經典周期軌道的周期可以通過含時的量子波包方法產生.我們還討論了矩形彈子球的波包回歸和波包的部分回歸，計算結果表明在每一個回歸時間，波包出現精確的回歸.對于動量為零的波包，初始位置在彈子球內部的特殊對稱點處，出現一些時間比較短的附加的回歸
  13. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  14. In the last decade, there exist two active lines on the investigation of nonlinear time series. one is the autoregressive conditional heteroscedasticity ( arch ) model, the another is the nonstationary ( unit root ) time series model

    對非線性時間序列的研究，近幾十年來，有兩條研究路線非常活躍，其一是自回歸條件異方差（ arch ）模型，其二是非平穩（單位根）時間序列模型。
  15. It comes up with a new notion, d - solution, which is applied to the distance estimation, by virtue of hilbert space ; furthermore, the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes, so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and, the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ), a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise, those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan

    首先，藉助hilbert空間理論，提出了距離估計的d -解，給出了d -解的必要條件，這個條件在線性函數類里即是極小二乘估計法， d -解的必要條件滿足的方程實質上將極小二乘估計法推廣到多函數及非線性函數類。再而，詳細地研究了多元弱平穩序列自回歸模型ar （ p ）的參數經典的矩的替代估計和極大似然估計，獲得矩的替代估計的一致性的結果。對基於gauss白噪聲假設多元弱平穩序列自回歸模型的均值、白噪聲的協方差陣的極大似然估計都有依分佈收斂到多元正態分佈的統計性質。
  16. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
  17. There are numerous educational facilities including thomas carr college, the grange secondary college, werribee college, westbourne and williamstown grammar schools. several excellent primary schools are also nearby, such as st james, cambridge and derrimut heath primary schools

    西城區是未來墨爾本城市的發展重心，許多商業物業，中小學正在規劃和興建中，清楓別墅是中產階級回歸自然享受天倫的山水田園理想居所，非常具有投資價值。
  18. The model employs advanced linear programming technique, including the device to distribute the material to downstream automatically, nonlinear recursion, modeling and auxiliary function of data, and advanced distribution recursion, which can describe enterprises producing and management course accurately, perfect the function of enterprises management system, and promote enterprise ' s management level

    模型採用先進的線性規劃技術，包括自動將物料質傳遞到下游裝置、非線性回歸、建模和數據輔助功能及先進的分散式回歸，可以準確描述企業的實際生產經營過程，該完善企業管理系統的功能，提升企業管理水平。
  19. The object of this thesis for a master ' s degree is to study the existence of seasonality effect in shanghai and shenzhen a - share market. we use the return data of a - share indices ranging from july 21st, 1997 to the end of year 2000 to study this effect by employing five different asymmetric garch - m models. before the garch analysis this paper studied the detail in very detail and find that the data is not much different from the index returns from developed market : it is fat tailed, with high kurtosis

    本研究首先對選取的樣本? ?中國的上海和深圳兩個股票市場a -股綜合指數1997年7月21日到2002年12月31日間1316個交易日的收益率的數據分別進行了深入的分析，發現滬深兩市已經逐步趨于規范化，其指數收益率分佈具有明顯的尖峰、厚尾的特點；然後分別運用了ljung - boxq檢驗和增廣的dick - fuller檢驗，發現所研究的兩個市場的收益率都具有明顯的自相關性，並且都是穩定序列；最後利用white異方差檢驗和arch性檢驗，證明了本文所研究的樣本具有明顯的異方差性和顯著的arch效應，因此用自回歸條件異方差模型來研究中國股市的季節效應非常合適。
  20. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
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