隨機模 的英文怎麼說
中文拼音 [suíjīmó]
隨機模
英文
stochastic model-
Fittings of systematic errors and covariance matrices in navigation
精密定位的觀測值隨機模型Research on hybrid type of stochastic control model
混合型隨機模型的最優控制策略研究Application of stochastic simulation to interlayer modeling
應用隨機模擬技術建立夾層模型Stochastic models of lambda phage
噬菌體的隨機模型。In third part, we discuss those important technological performance targets for a crane ' s metallic structures, the status index, the weight for the parameters. a new method called stochastic mistiness is put forward to accurate the status index and the weights
該章的第三節論述了起重機金屬結構的重要技術性能指標，詳細討論了指標狀態指數和權重，並提出了基於模糊數學的隨機模糊法來進一步細化結構的狀態指數和權重。In chapter3, we discuss the multiplicate progressive stresses accelerated life test. under the weibull distribution and an invers power law model we first present a necessary and sufficient condition for the existence and uniqueness of mle for the exponential distribution, then give estimators and confidence intervals of the parameters based on the blue. finally, we study them by using monte - carlo simulation
第三章首先指出了一組序進應力加速壽命試驗下weibull分佈分佈參數的mle不唯一，然後給出了p組序進應力加速壽命試驗下指數分佈的mle存在和唯一的一個充要條件，並用隨機模擬的方法研究比較了參數估計的優良性，最後給出了p組序進應力加速壽命試驗下weibull分佈中參數的點估計和區間估計，討論了有關問題，給出模擬實例。The basic principle and method of 3d stochastic modeling of sedimentary microfacies are discussed according to geological and acoustic impedance data of well - logging constrained seismic inversion, and a case study according to stochastic modeling of fluvial facies reservoir of the minghuazhen formation of neocene in a certain block of bohai bay basin is used to show the general process of this research
摘要探討了綜合應用地質及測井約束地震反演信息進行三維沈積微相隨機建模的基本原理、思路與方法， ?以渤海灣盆地某區塊新近系明化鎮組河流相儲層?例，說明這一研究過程的基本步驟，包括井眼沉積微相解釋、測井約束地震反演、波阻抗與地質相的概率關系分析、隨機模擬方法選擇、地質統計特徵分析、三維隨機建模、隨機模擬預測的多解性評價。Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure
文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性Method of using the random model to predict dynamic changes of phreatic level
隨機模型預測潛水位動態變化的方法According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain
根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。A parameter learning method for stochastic fuzzy
隨機模糊神經網路的參數學習演算法A stochastic model for processes of soil wind erosion
土壤風蝕過程的一類隨機模型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。Its main contributions include the following several aspects : firstly, the dissertation constructs the mathematic model of short baseline orientation determination using two geostationary satellites and analyses the applicable conditions of carrier phase interferometry. orientation determination precision is analysed in depth through both the conventional linearized method and monte - carlo computer simulation method, and the mathematical simulation results show that the linearized method has the shortcoming of fairly low elevation error analysis precision in high latitude area so as not to be very appropriate there. by analyzing the definite factors influencing orientation precision, the dissertation develops the concept of orientation dilution of precision, which uncovers the internal cause of exotic error behavior of bi - satellite orientation, and has important guiding significance for practical engineering applications
本文系統地研究了基於「北斗一號」衛星載波相位干涉測量原理實現地球靜止雙星定向的相關技術，主要研究成果包括以下幾方面:首先，建立了利用兩顆地球靜止軌道衛星進行短基線定向的數學模型，分析了載波相位干涉測量的適用條件;採用傳統的線性化解析法及蒙特卡洛隨機模擬法兩種途徑對雙星定向的精度進行了詳細分析，數學模擬結果表明在高緯度地區線性化解析法由於俯仰角誤差分析精度略有下降而不太適合;在分析定向精度確定性影響因素的基礎上，提出了雙星定向精度衰減因子odop的概念，揭示了雙星定向誤差特殊表現的內部機理，對實際工程應用具有重要的指導意義。In this paper, we study the type - i life test of lognormal, normal and weibull distributions with large numbers of samples, get the approximate confidence regions of the parameters, and do many stochastic simulations on the theoretical basis with computer
本文研究了大樣本定時截尾壽命試驗下對數正態分佈、正態分佈和weibull分佈參數的近似置信域，並在理論基礎上進行隨機模擬。After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system
論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。As to the stochastic simulation of stochastic biological processes, if only use stochastic petri net, although it has standard graphics expression, which is isomorphic to markov chain, along with the increase of models ’ scale and complexity, the number of states will increase exponentially, so it is very difficult to analyze models by the method which stochastic petri net has ; if only use stochastic algorithm, which has rapid simulation speed, but lack of intuitive graphical expression
對于隨機生物過程的模擬，如果只採用隨機petri網模擬生物隨機過程，其優點是形象、直觀，缺點是隨著模型的規模和復雜性的增加，狀態的數量呈指數性地增長，出現模型狀態空間的爆炸問題，用隨機petri網本身的分析方法很難分析整個系統的性能;如果只採用隨機模擬演算法模擬，其優點是速度較快，但是缺少形象的圖形表達，不利於模擬技術的應用。Furthermore, bringing forward a suit of thought for general modeling. in term of production, we study fmc reliability model and productivity of the assembly robot on the compressor product line. finally, the paper introduces program design of robot off - line program system
在此基礎上提出了如何進行通用機器人建模的一個設想，並結合生產實際，對裝配機器人生產線fmc可靠性隨機模型及生產率進行了研究，最後介紹了本文完成的機器人離線編程系統的程序設計。Stochastic models in telecommunication networks
通訊網路中的隨機模型In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate
鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。分享友人