檢驗預測值 的英文怎麼說
中文拼音 [jiǎnyànyùcèzhí]
檢驗預測值
英文
predictive value of tests- 檢 : Ⅰ動詞1 (查) check up; inspect; examine 2 (約束; 檢點) restrain oneself; be careful in one s c...
- 驗 : 動詞1. (察看; 查考) examine; check; test 2. (產生預期的效果) prove effective; produce the expected result
- 預 : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
- 測 : 動詞1. (測量) survey; fathom; measure 2. (測度; 推測) conjecture; infer
- 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque(指檢查船舶...
- 預測值 : forecast value
- 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
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( 2 ) the liman problem is normally adopted to check the liability of numerical method. the calculation error was within 9 % by comparison with the theoretic solutions of liman problem in the following case, the dimensionless calculation length was 2 with high pressure zone 0. 8, and the dimensionless state parameters were p1 = 2, p2 = 1, p1 = p2 = 1, u1 = u2 = 0. experiment results in literature [ 8 ] were used to check the adaptability of the numerical model developed here for unconfined gas cloud explosions and the calculation error was within 13 %
( 2 )數值方法的可靠性通常用黎曼問題的解析解檢驗,本文以無量綱計算區長度為2 ,高壓區長度為0 . 8 ,狀態參數為p _ 1 = 2 , p _ 2 = 1 , _ 1 = _ 2 = 1 , u _ 1 = u _ 2 = 0條件下的黎曼問題解析解對所編制的爆炸場計算程序進行了考核,結果表明該程序的計算誤差在9以內;為考核本文計算模型預測開敞空間氣雲爆炸的適用性,以文獻[ 8 ]的實驗數據進行了校核,計算誤差在13以內。Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework
然後,結合檢測系統中玻璃干涉圖像處理的任務,詳細介紹了處理的各個步驟:通過實驗比較,並結合干涉條紋圖像的特點,選擇中值濾波、動態閾值分割等技術對圖像進行預處理;然後對獲得的二值條紋進行標記、細化,提取條紋骨架;最後,用骨架的特徵進行線性分析,識別條紋的類型,判斷玻璃樣品的均勻性。One is the evt - based var model ( including gev model and gpd model ), the other is the quantile regression var model. secondly, i evaluate predictive performance of a selection of var models for chinese stock market data. these var models include riskmetrics method, historical simulation, monte carlo method, and the three recent models based on quantile regression and extreme value theory
本文首先重點探討了極值分佈var模型(包括廣義極值分佈和廣義帕雷托分佈兩個模型)和分位數回歸var模型;然後在此基礎上將六個var模型(包括上述三種模型、歷史模擬法、 riskmetrics方法以及蒙特卡洛法)實證應用於估計上證指數、上證180 、深證成指、深證綜指95 var和99 var ;同時採用區間預測法、損失函數法和符號檢驗法對這些var模型進行了選擇評估。The basic theory and step of whole process analysis of reinforced concrete beam section flexural rigidity is stated, the realization program is worked out and the academic example is analyzed. 4. based on the static - state load test result of two practical projects, the application of the reinforced concrete beam system bridge structure disease examination and structure damage evaluation method is stated, and satisfaction result is gained
1 、綜述了當前混凝土橋梁結構檢測及損傷識別的各種方法體系,並簡要評價了各方法體系的應用與不足; 2 、論述了基於靜載試驗的梁分段剛度系統識別的基本原理,編制了實現程序,並進行了數值算例分析,提出基於本原理的梁橋結構損傷識別與結構評價方法體系; 3 、闡述了鋼筋混凝土梁截面抗彎剛度全過程分析的基本原理和方法步驟,編制了實現程序,並進行了相關算例分析; 4 、結合兩片工程實例梁的靜載試驗,詳述了梁橋結構損傷識別與結構評價方法的應用過程,得到了預期的效果。The paper accounts the importance and the necessity of the forecasting research to the stock return volatility of our country, and the use in practice of the forecasting about the stock return volatility, firstly, stock market of our country is divided into large scale stock 、 middle scale stock and small scale stock on the basis of stock size. secondly, according to the basic method of the mathematical statistics , the behavior of the return volatility about single stock is described by using the model of the rolling variance estimates 。 through the relation of daily returns volatility and weekly returns volatility and the forecasting accuracy of the volatility forecasting model to various stock scale , we do practical analysis with the forecasting research to return volatility of single stock market
在個股收益波動性的可預測性研究方面,首先按市值規模大小將我國股票分為大盤股、中盤股和小盤股,然後利用數理統計的基本方法,用滾動樣本方差估計模型描述個股市場收益波動性的行為,並對三種股票日收益率序列及周收益率序列波動之間的關系以及波動預測模型對各種股盤的預測準確性進行了實證分析和結果檢驗。By the theoretical analysis and experimental test, the image processing procedure of the system has been designed. firstly, the system needs carry out pre - process : the median filtering and average filtering of acquired image, next carrying out the threshold of filtered image, then performing morphology, such as open, close and so on. next, the boundary of binary image is extracted
通過理論分析與實驗驗證,得到了本系統圖像處理過程:首先對採集的圖像進行預處理,包括均值中值濾波,通過閾值分割進行二值化,然後對二值圖像進行開啟、閉合以及進行邊界提取操作來獲得清晰的圖像邊緣,最後通過邊緣檢測和擬合測量得到沖擊試樣各尺寸值,圖像坐標變換和模式匹配可以完成檢測區域定位。The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for
並且,以爆破現場的實測數據為樣本,採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究,為爆破施工參數的確定提供了技術依據,確保整個爆破工程順利安全進行,並對這三種方法的預測結果進行了對比分析;對比分析表明,三種預測方法計算出來的結果精度相差甚大,從檢驗樣本值與預測結果值之間的相對誤差可以看出,人工神經網路法預測的結果較其他方法更接近於實際值,回歸分析預測法的精度又要高於經驗公式預測法。The terrain effect force wind ' s speed reducing and wind ' s direction turning to left with contrasting the experiments of numerical simulation the text analyses the structure and microcosmic character of sea wind in zhoushan maritime space and consanguineous connection between sea wind and action of dynamical and thermodynamic. the task gets the result of case a by using t213 datum of weather center and contrasts it with the actual sea wind. the task establish a foundation in order to use this mode in the environmental forecasting
通過數值模擬對比試驗,分析了舟山海域海面風的結構和微觀特徵,以及海面風與動力作用(復雜地形)和熱力作用(海陸熱力差異)之間的密切關系。進一步利用國家氣象中心提供的t213高解析度預報場檢驗海面風風場的數值預報效果,最後將其結果與實際觀測作比較,為將該模式投入環境(海流,海浪,風暴潮等)動力預報奠定基礎。Results show that relative standard deviation ( rsd ) of prediction value will become larger from 2. 5 % to 4. 72 % with energy decreasing form 100 % to 18 %. it is demonstrated that energy will not significantly affect predictive power by analysis of variance, because 3 samples f - value is 1. 62, 3. 02 and 2. 23 that all less than critical value f0. 05 = 3. 35
不同能量下的預測值與化學值相關直線的t檢驗( = 0 . 05 )表明各相關直線均無顯著性差異;模型預測值的方差分析( = 0 . 05 )表明儀器能量變化並不會使未知樣品預測值產生顯著性差異。Simulation results and real - life data are used to show the feasibility of the proposed method. ls - ar spectrum method and ga - mpsv are presented to solve the estimation problems in chaotic noise
基於混沌噪聲的預測值,提出了混沌噪聲中的信號檢測方案,並進行了相應的模擬試驗。The sprt was used to test error residual matrix between estimated matrix and measured matrix. based on the test result, it need to validate single parameter if necessary. finally, the on - line run status of the system and its parameters that whether natural or not are judged through these processes
通過鍋爐專家制定的試驗設計方案得到了有效的實驗數據,利用最值模型以及向量排序模型篩選出記憶矩陣,然後通過記憶矩陣對觀測矩陣進行實時訓練得到預測矩陣,再利用sprt方法對預測矩陣與觀測矩陣的殘差矩陣進行檢驗,對檢驗結果判斷,如有必要需對單參數進行驗證,最終通過這個過程判斷出系統及各個參數在線運行的穩定性。By means of the precise integration method with lagrangian interpolation the trajectory of the shaft center, the poincare mapping and the bifurcation graphs are numerically given. the results predicted by the floquet theory are checked and the long - term dynamic behavior of the system is predicted. it is shown that the system has rich nonlinear behaviors at some m combination of the four parameters, for examples, multi - frequency subharmonic resonance, as well as chaos phenomenon from doubling bifurcation and twice hopf bifurcation
通過lagrange插值精細積分法數值給出系統的軸心軌跡圖、 poincar映射圖、分叉圖,檢驗floquet理論預測結果並預測系統的長期性態,顯示系統在四個參數組合的某些范圍內具有豐富的非線性特性,還存在多形式次諧波解,以及由倍周期分叉、二次hopf分叉通往混沌的現象。The following is the result : for calibration set, correlation coefficient r = 0. 84, coefficient of variation is 5. 45 % ; for prediction set, correlation coefficient r = 0. 93, coefficient of variation is 5. 54 %. the analysis of experiment ' s result shows that this apparatus can fulfill the application of practice using
對實驗結果分析,校準集中預測值與化學值相關系數r = 0 . 84 ,變異系數為5 . 45 ,檢驗集中預測值與化學值的相關系數r = 0 . 93 ,變異系數為5 . 54 ,表明本儀器可以滿足實際應用的需要。With studying a great deal of data on the medium and long - term rainfall forecasting, auto - regressive model, artificial neural network and shepard interpolation model are used on the annual rainfall forecasting, in order to test if these models fit into the rainfall forecasting. and the result of the rainfall forecasting proves that these models for rainfall forecasting are practical and efficient
作者通過翻閱大量的有關中長期降雨預測方面的文獻資料,分別採用了自回歸模型、人工神經網路模型和shepard插值模型來進行年降雨的預測,以檢驗它們應用於年降雨預測的可行性,本文的年降雨預測結果說明了這幾種方法應用於年降雨預測的可行性。Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system
包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容,詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法,以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾,跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術,提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等Then, this paper empirically tested the validation and predictive accuracy of different var risk management model in the domestic financial market. finally, with the analysis of modem financial risk management development trend and the current domestic financial risk management situation, this paper made a prospect for the application of this model in the construction of domestic financial risk management system. through the analysis, the main conclusions are as follows : ( l ) the traditional mean - variance model is the special example of the portfolio selection based on the var risk management model for the case that the returns of the portfolio are assumed to be normally distributed ; compared with the mean - variance model, the var risk management model is more comprehensive and accurate in the measurement of the portfolio risk, so based on the var model, the investors can allocate the asset more effectively. ( 2 ) the var risk management model can provide the timely and comprehensive risk information for the top risk manager, so it is very helpful to the improvement of total risk management efficiency. ( 3 ) based on the var model, the raroc performance valuation approach can reflect the real performance of the portfolio manager and provide the coherent standard for the allocation of risk limitation and the construction of the incentive compatibility constraint mechanism in the financial instiutions
通過研究分析,本文主要得出如下結論: ( 1 )傳統的markowitz均值? ?方差模型僅僅是在資產組合收益率正態分佈假設條件下基於var風險管理模型進行資產組合選擇的特例,與均值? ?方差模型中的方差風險度量方法相比, var風險管理模型能夠更全面、更貼切地衡量資產組合的風險,且基於此模型能夠更有效地進行資產配置決策; ( 2 ) var風險管理模型能夠滿足更高層次風險管理者對風險信息的需求,有助於整體風險管理效率的提高; ( 3 )基於var風險管理模型的raroc績效評價能夠反映資產組合管理人的真實業績,從而為金融機構風險限額的分配和激勵約束機制的制定提供統一的標準; ( 4 )國內證券市場資產組合收益率服從正態分佈的假設明顯不成立,實證檢驗表明基於資產組合收益率正態分佈假設條件下的方差? ?協方差模型對國內資產組合風險的預測存在較大的偏差,由於文中證明在收益率正態分佈假設條件下基於方差? ?協方差模型進行資產組合選擇的結果等價于markowitz的均值? ?方差模型,因此,均值? ?方差模型對國內資產組合風險的預測同樣會存在著較大的偏差,而半參數var風險管理模型則能夠取得較好的預測衡量效果; ( 5 ) var風險管理模型符合未來金融風險管理的發展趨勢,基於var風險管理模型建立內容提要風險限額內控體系、風險信息披露體系和業績評價體系,並進行金融監管,將有助於國內金融機構內部風險管理方法和外部監管技術跟上國際金融風險管理的發展潮流。It has important significance in critical and subcritical experiment research. on the one hand, it can make theoretical estimate for experiment assembly in advance. on the other hand, it can compare with experimental value and check up the theoretical computation method and nuclear data
它在臨界及次臨界實驗研究中有著重要意義,一方面可以對實驗裝置的設計作理論預估,另一方面可以與實驗測量值進行比對,檢驗理論計算方法和核數據。Forecasts of the future are of value only as long as they are monitored in the light of current events.
對未來的預測只有根據目前的事實來檢驗才有價值。The statistical result shows that the average precision of rainfall intensity is over 80 % which varies largely with rainfall intensity grades using infrared cloud imagery parameters and the size of analysis field has slight effect on it. the monthly model make less improvement on p
對預測方程檢驗的結果表明:利用紅外資料估算未來6h的降雨量其總體樣本的平均正確率為80以上,但是在分級樣本上差別很大,這對小區域短時降雨預報具有很好的參考價值。In the paper, the daily return rate of composite index of a specific time is tested by w test method. the result shows the distribution of daily return rate of composite index is accordance with normal distribution. according to the nature of normal distribution, under 95 % confidence interval, the value of var could be calculated, and then we can predict the next day ' s index
在本文中,筆者通過對某一具體時間段的上證綜指的日收益率分佈進行正態檢驗仰檢驗) ,在得出的結論是日收益率基本上服從n ( 0 , 6 )的正態分佈的前提條件下,根據正態分佈的性質,在95的置信度下,利用var模型計算出當日的var值,從而預測出下一交易日的收盤指數。分享友人