數學隨機樣本 的英文怎麼說
中文拼音 [shǔxuésuíjīyàngběn]
數學隨機樣本
英文
mathematical random sample- 數 : 數副詞(屢次) frequently; repeatedly
- 學 : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
- 隨 : Ⅰ動詞1 (跟; 跟隨) follow 2 (順從) comply with; adapt to 3 (任憑; 由著) let (sb do as he li...
- 機 : machineengine
- 樣 : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
- 本 : i 名詞1 (草木的莖或根)stem or root of plants 2 (事物的根源)foundation; origin; basis 3 (本錢...
- 數學 : mathematics
- 隨機 : random stochasticrandom
- 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
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Besides, this paper adopts the random finite element method, uses geometric and physical mechanical parameters that are relevant to lining weight of surrounding rock, coefficient of lateral pressure, height or buried depth of vertical loading, elastic resistance coefficients of surrounding rock, elastic modulus of support structure, unit weight of concrete, thickness of the structure as well as torsional strength and compression strength of concrete and etc., as random variables, applies the monte - carlo method to sampling by computer, preliminarily evaluates the reliability of bearing capacity and stability of molded concrete lining of the xuefeng mountain tunnel, and obtains the related displacement of the lining, mean value and variance of internal force, and computed the reliability index of lining structures
此外,本文採用隨機有限元方法,將圍巖容重、側壓力系數、垂直荷載高度或埋深、圍巖的彈性抗力系數、支護結構的彈性模量、混凝土容重、結構的厚度以及混凝土的抗扭與抗壓強度等與襯砌結構有關的幾何與物理力學參數作為隨機變量,應用蒙特卡洛理論進行計算機隨機取樣,對雪峰山隧道模注混凝土襯砌的承載力與穩定性的可靠度進行了初步評估,得出了襯砌的相關位移與內力的均值和方差,並計算出了相應的襯砌結構可靠指標。By end of 1998, the nominal value of derivatives transactions had happened in the official exchange within 5 years increased from 7. 7 trillion u. s. dollars to 13. 5 trillion u. s. dollars, meanwhile, the nominal value of derivative securities ( otc ) increased from 8. 7 trillion u. s. dollars to 51 trillion u. s. dollars, then, the nominal value of unliquidated derivatives was total about 64 trillion u. s. dollars, and the academic field also emerged frontier science borrowing for the financial science, physics financial science, financial engineering, etc. 1973, black and scholes put forward the differential equation that any derivative securities prices based on any non - dividend paying stock must be satisfied, that is black - scholes differential equation
Jamshidian . f在其1989年的文章中推導出零息債券的期權價格。奧托同樣在其1998年的論文中用統計物理學中的路徑積分方法推導出了基於零息債券為基礎的期權定價模型。本文在這些學者研究成果的基礎上,進行了更深層次的研究,在vasicek隨機模型的基礎上,打破上述學者及著名的black - scholes期權定價模型只能求解證券及其衍生產品價格平均值的限制,對零息債券和基於零息債券的期權的價格求解,並推導證券瞬時價格的分佈函數。In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible
在rsdm中,以實值模式代替二值模式,避免了實值到二值的編碼過程:以回歸學習規則代替外積法,使該模型在具有識別能力的同時具有了對函數的逼近能力;地址矩陣的預置根據樣本的分佈採取不同方法,若樣本均勻分佈,則隨機預置,否則利用遺傳演算法的原理和消減措施來預置地址矩陣,使之反映樣本的分佈,改善網路的性能。The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer. but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule
Kanerva的稀疏分佈存儲( sdm )模型解決了大維數樣本的訓練問題,推廣了現有計算機的存儲方式。但其地址矩陣的隨機預置方式不能反映樣本的分佈,並且sdm的學習方式使之不能用於函數逼近及時間序列預測問題。The students in northwest a & f science & technology university had accepted random sampling questionnaire survey and their recognition and consumption propensity of grape wine products were summed up as follows : most university students knew little about the basic knowledge of grape wine products ; most university student liked the taste of sweet - type grape wine and refused the taste of dry grape wine ; the currently - accepted price of grape wine among university students was about 15 chy ; most university students were interested in grape wine and expected grape wine drinking and the health value of grape wine was of great concern ; almost half university students believed that grape wine would be daily consumption goods soon with the increase of peoples ' living standards ; most university students were eager to know more about grape wine culture
摘要以西北農林科技大學北校區大學生為調查對象,通過隨機抽樣問卷調查,得出大學生對葡萄酒產品認知及消費傾向如下:大學生對葡萄酒產品基本知識了解較少;多數大學生喜歡甜型葡萄酒的口感,對于干型葡萄酒的口感接受程度普遍較低;大學生普遍接受的葡萄酒價格應該在15元左右;多數學生有興趣了解並期望飲用葡萄酒,葡萄酒的保健價值很受關注;有近一半的大學生認為隨著人們生活水平的不斷提高,葡萄酒會走進尋常百性家;大學生渴望了解更多的葡萄酒文化。According to the data of the covariance - stationary stochastic time series, we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection. this algorithm will be faster and more stable
在已知平穩隨機時間序列樣本數據的情況下,論述了如何採用正交投影演算法和正交奇異值演算法建立隨機時間序列的狀態空間模型和狀態矢量估計,這種數學建模方法對于船舶機艙中的系統數學建模有很大的幫助One class from each year level at each school was selected. 12, 355 of the 12, 557 eligible students participated ( 97. 3 % )
于各年級隨機抽取一個班級,共抽出12557位同學為研究樣本,完成有效問卷數為12355份,總回收率為97 . 3 % 。In this study, a scale was used to measure a sample of 278 students selected from a middle school by randomly sampling and selected 80 students who have the similar score of gse
本研究採用隨機抽樣法,選取中等數學成績的初二學生278名,然後運用有關問卷,從中篩取自我效能得分相當的被試80名作為被試。The algorithm of strapdown inertial navigation system is also discussed and then use the flight - track generator to give a simulation, since a closed loop feedback integrated navigation system is designed in this paper, and the output of the filter must feed back to the strapdown inertial navigation system, the analysis of the algorithm in strapdown inertial navigation system is important. the scheme to design the trajectory of gps and the simulation of gps constellation are then studied, the simulation of gps constellation is given from the calculation of vernal equinox base on the principle of celestial mechanics, this method of different from other methods given by other paper and is useful to the research of satellite navigation system. a new method to abstract noise modal in integrated navigation system is proved to be useful in practice, this method, which is given by use the principles of stochastic processes, statistics, time series analysis, and system identification, is suitable for the kalman filter in integrated navigation system
如航跡產生器的設計,該航跡產生器是研究組合導航問題的前提,從國外一些研究組合導航系統的文獻中可以看出,設計這樣一個航跡產生器是非常必要的,所以本文自行設計了這樣一個系統;還討論了捷聯慣性導航系統中捷聯解算的方法,並進行了模擬研究,由於在本文設計的閉環反饋式組合導航系統中,對捷聯慣導系統的平臺誤差進行閉環控制,需要將濾波器輸出的校正量反饋到捷聯解算內部,所以必須對捷聯解算進行深入的研究和分析,更何況捷聯解算問題本身也是導航界的一個熱門研究課題;另外,本文還介紹了gps軌道及其星座模擬的設計思想和方案,與以往gps軌道和星座模擬不同的是本文從天體力學中計算春分點開始,逐步進行gps軌道及其星座模擬,這樣的設計方法對從事衛星導航的研究工作是有價值的;還對組合導航中誤差建模方法進行了研究,綜合運用隨機過程、概率統計、時序分析及系統辯識等方面的理論提出了一套適合組合導航卡爾曼濾波的誤差建模方法,並運用實際研究工作中的測量數據對該方法進行了驗證。Firstly, the paper introduces the development and application of computer graphics & image technique, discusses the principle and method of cg and digital image processing, such as matrix of the graphic transformation, homogeneous reference frame, sampling and quantization of the image, file format of the image, template operation, etc. secondly the paper introduces the purpose and method of image enhancement processing, explains the each occasion of those methods such as threshold transformation, smoothing processing, sharpening processing, analyzes and contrasts the processing results of object image. thirdly, the paper introduces the method of mathematics morphologic, edge detection and thinning processing, attains character description of image and character dots of the contour. fourthly, the paper processes the coordinate transformation to character dots and basic splines fitting, imports correlative condition to devise meshing line and meshing track
本文首先介紹了計算機圖形圖像技術的發展與應用情況,對計算機圖形學和數字圖像處理的一些基本理論和方法如圖形變換矩陣、齊次坐標系、圖像采樣和量化、圖像文件格式、模板操作等內容進行了討論:然後對圖像增強處理的目的和方法進行了介紹,對諸如閥值變換、平滑處理、銳化處理等方法的應用場合進行了說明,並對實物圖像的處理結果進行了分析與比較;接下來介紹了數學形態學方法、對增強后的圖像進行邊緣檢測的方法和圖像的特徵描述方法,並獲取輪廓的特徵點:隨后對獲取的特徵點進行坐標變換,並進行b樣條曲線擬合,引入相關條件生成齒輪副的嚙合線及嚙合軌跡:最後引入等值線和區域填充表示方法,並以等值線和區域填充的形式對弧齒錐齒輪嚙合模擬的載荷分佈情況進行了直觀的表示。The " net cash flow from operating activities / net profit ", a cash flow indicator that is emphasized both at home and abroad, was first time to be treated as one of the variables for corporate performance. the listed companies of manufacturing industry were grouped according to their asset scale and industry property. the empirical study of equity structure and corporate performance were carried out through combining the empirical analysis and theoretical analysis and by using stochastic variable intercept paral data mode and sas software package
本文以製造業303家上市公司為總樣本,確定了6個股權結構變量、 7個經營績效變量,並在經營績效變量中,首次引入了國內外尤為關注的現金流量指標? ?盈餘現金保障倍數;將製造業各次類上市公司,按資產規模和行業性質進行劃分,採用實證分析與規范分析相結合的方式,運用計量經濟學建模方法? ?隨機影響變截距平行數據法,應用sas統計軟體,對我國上市公司的股權結構與經營績效進行實證研究。Since the random selection of radius sometimes results in the problem such as the slow learning speed, we propose a center selection method based on the statistic information of the training set. i apply this method to the credit approval prediction, the result indicates the effectiveness of this - method.
基函數的中心選取問題是rbf網路應用的關鍵因素,本文採用最近鄰學習演算法確定基函數的中心,針對rbf網路通常所採用的隨機選取半徑往往導致網路訓練速度慢等問題,提出了基於樣本統計的中心選取方法。In continuous - lime framework, assuming that asset price follows stochastic diffusion process, it introduces parametric uncertainty, and applies stochastic dynamic programming to derive the closed - form solution of optimal portfolio choice, which maximizes the expected power utility of investor ' s terminal wealth ; in discrete - time framework, continuous compounding monthly returns of risky asset are assumed to be normal i. 1. d., it applies the rule of bayesian learning to do empirical study about two different sample of shanghai exchange composite index
在連續時間下假設資產的價格服從隨機擴散過程,引入參數不確定性,利用隨機動態規劃方法推導出風險資產最優配置的封閉解,使投資者的終期財富期望冪效用最大;在離散時間下假設風險資產的連續復合月收益率服從獨立同分佈的正態分佈,通過貝葉斯學習準則,以上證綜合指數不同區間段的兩個樣本做實證研究。By analyzing group of data, appropriate statistics, such as distribution and average of activity duration, distribution and average of project duration, etc were gained which can be used to determine a reasonable and executable schedule considering influence of random factors
運用這些模型在計算機上進行模擬試驗,得到一組工作時間參數的樣本值,通過對這組樣本值的統計分析,得到在隨機因素影響下工作持續時間的變化趨勢和平均值、項目工期的變化趨勢和平均值等參數值,從而為科學地進行進度管理提供依據。分享友人