策略值函數 的英文怎麼說

中文拼音 [cèlüèzhíhánshǔ]
策略值函數 英文
strategically value function
  • 策 : Ⅰ名詞1 （通「冊」 古代寫字用的竹片或木片） bamboo or wooden slips used for writing on in ancient ...
  • 略 : Ⅰ名詞1 （簡單扼要的敘述） summary; outline; brief account; résumé: 節略 memorandum; aide mémoire;...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 策略 : 1 （制定的行動方針和斗爭方式） tactics 2 （講究斗爭藝術） tactful 3 [數學] （對策） policy; strat...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. On the theory, the predictive function control method based on the state space is discussed and the simulation results validate the pfc method ' s advantages on robust and anti - jamming comparing with pid method by computer simulation. the application research includes the application of the software of predictive function control ( apc - pfc ) and the software of the multiple - variables predictive control ( apc - hiecori ). the former were applied in the temperature control chlorinating process and ph control in the process of zymolysis of penicillin, the latter were applied in the advanced control of reclaim equipment of lox in china petroleum & chemical corporation yangzi petrochemical co., ltd

    本文主要從理論和應用兩方面對預測控制方法進行了研究，理論方面主要是從預測函數控制的基本原理出發，研究了一般情況下的基於狀態空間描述的預測函數控制策略，並通過計算機模擬驗證了pfc演算法比常規pid演算法具有更好的魯棒性和抗干擾性：在實際工業過程的應用上，又分為兩類演算法及軟體的應用，預測函數控制策略及apc - pfc軟體的應用主要以聚乙烯氯化過程的溫度控制和青霉素發酵過程的ph值控制為主，多變量預測控制演算法和apc - hiecon軟體的應用主要以揚子石化公司的液化氣回收裝置先進控制為主。
  2. In this article, firstly the background of the textile trade conflicts within sino - us or sino - euro are introduced, thus learn that how to discern and dodge the foreign trade risks, how to choose the appropriate investment projects have already become one of the most important questions for exporting companies on foreign trade affairs well - known as high investment and high risk. so the main text makes a risk analysis qualitatively and quantitatively on a textile - exporting trading company from three angles of statistic 、 game theory and portfolio theory, which is the main content that we studied. firstly, the statistic article adopts data of the transaction closing price of the textile clothing index in shenzhen stock exchange at the end of each quarter as well as several other kinds of data reflecting the macro - economic changes, performs an empirical analysis of these data according to the theory of co - integration test 、 granger cause test and impulse response function of time series in economitric, and learn that the impact to ti is more obvious by the economic index reflecting local commodity price level and economic prosperity degree home and abroad, as well as the impact degree and the time lag degree, and knows the macro - economic risks faced by textile business enterprises ; after that by the game theory angle we analyze exactly the managing risks faced by one textile export corporation named beauty. from the game expansion chart the system arrangement between censor ways by exportation goal countries and exporting strategies by the exporting enterprises has been analyzed. involving the benefit assignment between them both the limited rounds and infinite rounds negotiations of cooperation games have been studied, and then country responsibility and the enterprise managing risks on foreign trade affairs and so on have been analyzed exactly ; in order to realize the investment multiplication in the certain degree to disperse the risk, the

    本文首先介紹了中美、中歐紡織品貿易爭端的來龍去脈，由此可知在涉外貿易這種以高投入、高風險著稱的行業里，如何甄別和規避外貿風險、如何選擇合適的投資項目已經成為外貿企業的首要問題。因此，正文分別從統計學、博弈論和投資組合三種角度對涉外紡織品貿易公司風險進行了定性和定量的分析，這也是本文的主要研究內容。首先，統計學篇選取了深圳證券交易所行業分類指數?紡織服裝指數（ ti ）每一季度末的交易收盤價和若干種反映宏觀經濟變化的指標，利用計量經濟學中時間序列的協整檢驗、 granger因果檢驗和脈沖反應函數等理論做實證分析，從而得知反映國內物價水平和國內外經濟景氣程度的經濟指標對紡織板塊上市值的沖擊比較明顯，且可知沖擊程度和時滯度，進而分析出涉外紡織企業所面臨的宏觀經濟風險;接著，從博弈論的角度具體分析一家紡織品出口公司（ beauty ）的外貿活動所面臨的各種經營風險，該篇從博弈擴展圖入手，分析了出口目的國審查方式與本企業出口策略之間的制度安排;並圍繞雙方的利益分配，研究了有限回合和無限回合合作談判博弈，然後具體論述了國家責任和企業涉外經營風險等問題;在一定程度上為了實現投資多元化來分散風險的目的，投資組合篇從經典的markowitz模型著手，在一些特定條件的限制下，給出了一個相應的投資組合模型。
  3. To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

    詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。
  4. Under the assumptions that product demand is price - dependent and allowable shortage, the inventory and sale model is established by dynamic pricing approach, in which the time value of money and reservations may cancel advance orders is included, and the validity is verified by numerical examples

    摘要在需求率是價格的函數，允許缺貨的條件下，採用動態價格策略，考慮允許顧客取消預訂和貨幣時間價值的影響，建立一個庫存銷售模型，並用數值實例驗證模型的有效性。
  5. Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved

    在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。
  6. Our proposed approach is to split the dataset sample into two parts and change the strategy of scanning datasets into two loop, the inner loop and the outer loop. the scan of the dataset will become the outer loop and the scan of the draws from the posterior distribution

    該演算法對數據集進行劃分，改變mcmc對數據集的掃描策略，將其分開為內、外兩個循環過程，外循環中掃描數據集，內循環掃描分佈函數的抽樣值。
  7. This thesis suggests a process considered minimizes the population size as similar individuals occur in the fitter members of the population, which helps reduce the execution times for ga by removing the redundancy associated with the saturation effect found in the later generation. this thesis uses a method that adds dynamic penalty terms to the fitness function according to the optimal degree of solutions, so as to create a gradient toward a feasible suboptimal or even optimal solutions. on the basis of the difference of the biggest and the smallest of fitness of individual, modifying the fitness function in order to convergence is a satisfaction

    動態調節種群大小，去掉遺傳演算法在迭代後期搜索產生的過多相似個體，達到減少計算時間的目的；按照解的優劣程度給適應度函數增加一個在ga搜索過程中動態改變的可變罰函數，給搜索最優解創造一個梯度，使遺傳演算法收斂到可行的較優解或最優解；根據適應度值最大和最小個體的差修正適應度函數，使適應度函數值適中不容易造成收斂太快、局部收斂或根本不收斂而變成隨機搜索；為了避免「近親繁殖」採用競爭擇優的交叉操作；利用并行遺傳演算法的思想，提出一種自適應多子種群進化策略；提出人口汰新政策來解決類似甚至相同的個體的情況發生。
  8. This thesis contrasts and analyses the different calculation - method, and improves the genetic algorithm in the parameter inversion of the rock and soil engineering. the strategies are mainly in the following three aspects : 1, new searching way is compositely searching genetic algorithm which is made up of the acceleration method and genetic algorithm when it partially calculates in the later time ; 2, index function is inducted in gengetic operators, at the same time repeated select and double exchange pool are used ; 3, splicing crossover, which reserves some new evolution factions, improves authority function accaunting the capabilities and kinds

    本文對優化演算法中不同求解方法進行對比分析，針對遺傳演算法在巖土工程參數反演運算中進行了改進，改進的策略主要集中於三個方面： 1 、提出了在遺傳演算法中融入形加速法的改進方法? ?復合遺傳搜索法； 2 、針對遺傳運算元的選擇策略，引入指數適值方法，設置雙交換池，提出了重復篩選法； 3 、加強對劣勢種群的內部優良信息的遺傳功能的改進，引入權函數，擴大可交叉運算元的種類，保留各運算元的進化功能，提出了融合交叉運演算法。
  9. By introducing the concepts of constraints measure and feasible degree, the extent to which the decision variables subject to the inequality constraints and equality constraints is described and then the self - adaptive penalty function is constructed, whose values are adaptively changed with the constraints feasible degree

    該策略通過引入約束可行測度、可行度等概念來描述決策變量服從于不等式約束和等式約束的程度，並以此構造處理約束條件的自適應懲罰函數，懲罰值隨著約束可行度的變化而動態自適應地改變。
  10. We proposed an improved simulated annealing algorithm with neighbor function based on self - optimization of scale parameter. furthermore incorporating disaster - modification and the improved annealing into genetic algorithm, an improved genetic - annealing algorithm is proposed. in order to solve the deceptive minimum problem, an improved evolutionary strategy combined with similarity detection and improved mutation operator

    提出了鄰域尺度函數自尋優的模擬褪火演算法，結合遺傳演算法，引入災變運算元，提出了改進遺傳模擬褪火演算法；為了解決尋優過程中的最小欺騙問題，我們提出了相似性檢測，結合改進的適應值無關變異運算元，提出了基於相似性檢測和適應值無關變異運算元的進化策略演算法。
  11. The major tasks include : ( 1 ) expand the schema theorem for ga. the schema theorem with binary coding advanced by professor holland is expanded to limited integer, letter, floating point numbers the number of which value is limited, and their hybrid coding. ( 2 ) put forward replacing by the excellent chromosome ga ( recga ), superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain, random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga, modify the arithmetic and then conduct tests

    主要有以下幾方面工作： （ 1 ）將二進制編碼遺傳演算法的模式定理擴展到由有限整數、字母或取值個數有限的浮點數編碼，或它們混合編碼的遺傳演算法范圍； （ 2 ）提出最佳個體替換策略遺傳演算法（ recga ） 、優勢群體優先策略遺傳演算法（ scfga ） ，對遺傳演算法進行改進； （ 3 ）使用隨機過程理論markov鏈對recga進行了收斂性分析； （ 4 ）使用泛函分析理論壓縮映射原理對scfga進行了收斂性分析； （ 5 ）使用遺傳演算法設計了解決np類問題（排課問題）的測試程序（ cap ） ，並根據recga對演算法進行改進並進行測試。
  12. Weighting for fuel economy and four emission performance determine an overall impact function, the user can adjust the target of the strategy by adjusting their weightings

    遺傳實時控制策略目標函數的屬性有燃油經濟性和四種排放物的排放量，通過對各個屬性權值的調整，實現對控制目標的調整。
  13. The problem has been studied from two sides, firstly, from the viewpoint of applicability, based on the development strategic objectives of the oil company, with the aim to unify the exploration and extraction decisions of the resources in an integrated framework, and integrate the macro economic and technical objectives with micro economic and technical models of an oil well, an integrated non - linear dynamic optimal control model has been constructed, the objective is the benefit maximum of the exploration and extraction of the resources, and the optimal strategies are obtained by changing the problem into a non - linear mathematical programming problem, on the other hand, from the more macro level, based on the analysis of the characteristics of the exploration and extraction activities of oil and gas resources, a conclusion is easily deduced that the procedure is full of randomicity, then discovering procedure of oil deposit is proved to be a poisson process, and the reserves process is a supermartingale process, so the model of exploration discovery rate and the reserves model could be constructed

    本文從兩個側面對此問題進行了研究，首先從實用性出發，以公司層次的戰略性規劃目標為基礎，將勘探階段與開發階段的工程技術及經濟方面的決策整合在一個模型框架內，同時將宏觀層次的經濟技術目標與單個油氣井生產的微觀技術經濟模型相結合，以油氣資源勘探與開發的經營效益最大化為目標，建立了一個非線性確定型綜合動態優化模型，通過將原非線性最優控制問題轉化為一非線性數學規劃問題進行了求解。其次從相對更宏觀的層次上，通過對油氣資源勘探與開發的特點分析，認為具有很強的隨機性，證明了勘探活動發現油氣藏的過程為一泊松過程，所發現的油氣藏儲量為一上鞅過程，在此基礎上，建立了油氣藏勘探發現率模型及儲量模型，在油氣價格服從幾何布朗運動條件下，以油氣開採收益最大化為目標，建立了一個油氣資源勘探與開發的隨機最優控制模型，採用動態規劃方法得到了值函數的hjb方程，並針對方程的特點，以及方程及其變量所對應的經濟學意義，對最優策略的求解進行了一些討論。
  14. The mathematical models of topology and size optimization of trusses are given firstly, and then a co - evolution mechanism for optimization of both models, including coding strategies and the construction of fitness functions, is described

    先給出桁架拓撲和尺寸優化的數學模型，再對協同演化的機理進行說明，給出演算法在桁架問題上實現的編碼策略、適應值函數構造等方法。
  15. 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。
  16. The quasi - physical method makes the original problem an optimization problem in mathematics. there is often the possibility of going to a local minimum of object function when we solve the optimization problem mathematically. as for how to jump out of the trap of local minimum so that the calculation can head for a region with better prospects, the quasi - physical method is helpless

    擬物方法將原始問題落實為優化問題，而用數學方法在求解優化問題時，常常會碰到計算落入目標函數的局部極小值陷階的困境，如何從這種困境中逃逸出來，使得計算奔向前景更好的區域，擬物方法則無能為力，而應用擬人方法則可以設計出好的「跳出陷阱」策略。
  17. According to feature that goal function has more than one local extremum in displacement back analysis for underground engineering, a new means of displacement back analysis for underground engineering has been established through adopting fem and self - adaptation idea on the basis of the improvement of the determining method of control parameters, such as initial temperature and number of state choice and annealing strategy, moreover, the relevant analytic software is developed

    摘要本文針對地下工程圍巖位移反分析問題的目標函數存在多個局部極值的特點，在對模擬退火演算法進程中控制參數，即初始溫度、每一溫度下的狀態選取次數和退火策略的確定方法加以改進的基礎上，引進有限元分析手段和自適應的思想，建立了基於改進模擬退火演算法的位移反分析方法，並開發了相應的分析程序。
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