隨機系數 的英文怎麼說
中文拼音 [suíjīxìshǔ]
隨機系數
英文
random coefficients-
The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward
主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。Non - stationary random response of frame structures with stochastic physical parameters
含隨機參數的散粒體增量型內時本構關系If the input or output ( observation ) variables of a stochastic system are fuzzy, the system becomes a stochastic system on fuzzy number space, and is called a fuzzy stochastic system
當一個隨機系統的輸入或輸出（觀測）變量取值為模糊數，它就成為取值于模糊數空間上的隨機系統，簡稱模糊隨機系統。The macro - mechanical properties ( the elastic constants ) of the fractured rocks can be connected with the micro - parameter of crack ( crack number density )
這個模型將微觀隨機參數（裂紋數密度）與非均勻裂縫介質的宏觀性質（彈性常數）直接聯系起來。The method of multiple scales is used to determine the equations of modulation of amplitude and phase. the steady state response can be obtained by solving a couple of algebraic equations, which have been achieved by careful deduction under some conditions. and because of the complexity of the equations, programs are necessary to solve the equations mentioned above, and certain graphs are presented. based on chapter two, in chapter three, the method of multiple scales is introduced to the study of the multiple - dimensional nonlinear stochastic systems under random external excitation
在第二章基礎上，第三章將多尺度法引入到相應的隨機系統的研究中；嚴格推導了系統的約簡方程，用矩方法求出穩態解應滿足的方程，獲得一些結果；並且數值模擬結果與理論推導的結果是一致的；並注意到，與其對應的確定性系統相比較，系統響應從周期解變為近似周期解，系統的相軌線從極限環變為擴大的近似極限環；隨著激勵帶寬的增大，此擴大的近似極限環的寬度將增大。Keywords : industrial engineering, industrial management, operations research, management sciences, production systems, operations management, supply chain management, management of technology, quality engineering and management, reliability engineering, six - sigma, lean manufacturing and lean enterprise, information systems engineering and management, enterprise management systems engineering, semiconductor manufacturing, health care systems, data mining, financial engineering, simulation, optimization, decision sciences, stochastic systems ， probability and statistics
關鍵詞：工業工程，工業管理，運籌學，管理科學，生產系統，運作管理，供應鏈管理，技術管理，質量工程和管理，可靠性工程，六西格馬，精益製造與精益企業，信息系統工程與管理，企業管理系統工程，半導體製造，醫療系統，數據挖掘，金融工程，系統模擬，優化，決策科學，隨機系統，概率和統計。The research paper is based on the the latest softwares of the managing inventory, its research subject is about simulating the most appropriate inventory quantity and ordering quantity by statisticing the probability of the random require quantity. its purpose is to provide the relied basement for determining the most appropriate inventory quantity and ordering quantity, the deterring policy quality will be raised, so the damage caused by unfit inventory quantity and the benefit of the entrerpreneur will be raised. the research method is by building the inventory management information system, the system includes automated management of parts entering and going out the datasbase. requesting the records of parts entering and going out the datasbase and displaying the sygonal when the inventory quantity is short out. computer calculating the fix period remaining, requesting remaining at any time and displaying if goods need ordering, all the partsof certain a product going out of basement and at the same time checking if the storaging quantity is enough. then simulating the most appropriate inventory quantity and ordering quantity simulating method is as follows : statisticing the random required quantity. calculating the probability, standing for the values with data range producing random data by function accordingly calculating the random required quantity. thenext step is simulating all the projects after pressing in the simulating conditions. finally selecting the best
本文通過分析國內外關于庫存管理軟體的發展情況，提出在線統計貨物出庫情況的基礎上利用模擬方法確定最優存儲方案，其目的是為制定合理的貨物安全庫存量和訂貨量提供可靠的依據，提高企業管理人員的決策質量，從而減小資金的佔用和缺貨損失，提高企業的經濟效益。通過研製庫存管理信息系統使庫存信息管理自動化，也就是實現貨物入出庫管理計算機管理、自動查詢貨物入出庫情況並在缺貨時給予提示、使用計算機貨物余額定期結算、貨物余額實時查詢並顯示是否需要訂貨、裝配出庫管理使得只要輸入需要裝配產品代號和數量，組成它的所有零件就會自動檢庫和出庫。然後對安全庫存量和訂貨量進行模擬，模擬方法是首先自動統計貨物在過去某一段時間內的需求量，計算出概率，用隨機數的范圍表示其概率數值的大小，利用隨機函數產生隨機數、從而間接的產生隨機需求量，給定模擬天數和其他模擬條件模擬各種方案，從眾多的存儲方案中找出最優存儲方案。Performance - oriented controller synthesis is also discussed and muti - objective controller can be designed based on it. lmi design methods for robust controller, h controller and robust h, controller of the stochastic t - s systems with unmodeling uncertainties are introduced. finally, various controllers developed in this dissertation are applied to lorenz chaos system with random perturbations, and compared with traditional controllers
本文第二部分研彝雄舞具有隨機參數擾動的模糊系統穩定性分析和控制堿，將t ， s _瞬娜事鉀控制理論的現有成果推廣至隨機t - s咖系終主要成果有二黃申了拿葬摧Testing for varying dispersion in exponential family nonlinear models with random coefficients
指數族廣義非線性隨機系數模型的變離差檢驗Secondly, the response problem of a random structure under evolutionary random excitation is solved by the stochastic perturbation method combined with the unified approach. our derivation is based on the following three indispensable assumptions : 1, the random perturbations must be small fluctuations ; 2, the random parameters of the system are mutually independent ; 3, the random parameters and the random excitation are mutually independent too
2 ）將統一解法與隨機攝動法相結合，推導中採用了三個不可或缺的假設： （ 1 ）隨機攝動是一個小量； （ 2 ）系統各個隨機參數是相互獨立的； （ 3 ）系統的隨機參數與所受的隨機激勵是統計獨立的。Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject. cluster analysis is one of the most important research domains of data mining
數據挖掘是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程，被信息產業界認為是數據庫系統最重要的前沿之一，是信息產業最有前途的交叉學科。Finally, the results are compared with periodic and random chains. then we studied acoustic wave propagation in 1d quasiperiodic and aperiodic systems by means of he transfer matrix. transmission rate, reflection rate, energy flow, logarithmic energy flow, energy density and lyapunov exponent are computed numerically, and compared with periodic and random system
其次研究了聲波在幾種一維準周期和非周期系統中的傳播，通過轉移矩陣的方法，數值地得到了系統的傳播系數t _ n 、反射系數r _ n 、能流密度j _ n ，能量密度e _ n和lyapunov指數，給出了以上各量與傳播長度n以及頻率之間的關系，同時發現能流及能量密度都具有分形結構，並與周期和隨機系統的結果作了比較。Thus finally we can realize the minimum variance control. simulations show that preferable parameter estimation and satisfactory control performance can be achieved using the derived dual adaptive control
利用卡爾曼濾波對未知的系統參數進行估計，最終實現隨機系統的對偶自適應控制。Comparing with the method using monte carlo method alone to simulate both the random parameter and the random excitation, the suggested method can reduce the computational effort greatly
相對于單純用montecarlo隨機模擬方法，即對激勵與系統隨機參數二者都進行模擬，本文提出的方法，可大幅度降低計算工作量。In this thesis single input - single output and multiple input - multiple output stochastic systems are discussed respectively. innovations are introduced to reconstruct the original minimum variance control problem of stochastic system, which is unsolvable by means of dynamic programming. so it can be converted into multiple single - step control problems, in which kalman filter is used to estimate unknown system parameters
本文分別針對單輸入單輸出和多輸入多輸出的隨機系統進行了研究，通過引入系統的新息對原不可解的動態規劃問題進行重構，將系統參數隨機變化的最小方差控制問題轉化成為多個基於新息的單步控制問題。Chapter two introduces mathematical definition, the basic characteristics, and analytical and numerical methods of chaos in both deterministic and stochastic systems
第二章，介紹了確定性系統混沌的定義和基本特徵及其研究的解析方法和數值方法，並在此基礎上引入了隨機系統中混沌的定義、基本特徵及研究方法。The work in this dissertation mainly consists of two parts. in the first part, the dynamic response of nonlinear structures with uncertain physical parameters is studied by means of subsection linearization method and equivalent random systems method, separately. in the second part, a method for analyzing the response of viscoelastic structures with uncertain physical parameters is proposed, with fem in space domain and discrete method in time domain
本文的研究工作主要由兩個部分組成；第一部分是分別用分段線性化方法和等效隨機系統方法對含隨機參數非線性結構動態響應統計量的求解；第二部分是建立了用擴階隨機有限元方法求解含隨機參數粘彈性問題的計算模型。The main research objects are transferred structure control stochastic system. according to the condition of the system, a decision maker ( a man or a computer ) should select a way to control or affect the transfer of the system, so that each way decides the aimed function value of the stochastic process and the corresponding ones
其主要研究對象是轉移結構受控的隨機系統，根據系統的狀態，決策者（如人類或計算機）選取一個策略來控制或影響系統的轉移，從而每個策略可定義一個隨機過程和相應于該過程的目標函數值， mdp的目的是選取一個好的控制策略。Government spending, productivity improving and economic growth : an empirical study based on panel data and random coefficient model
基於面板數據隨機系數模型的實證研究Application of random function in the os experiment
隨機函數在操作系統實驗中的應用分享友人