最優決策函數 的英文怎麼說

中文拼音 [zuìyōujuécèhánshǔ]
最優決策函數 英文
optimal decision function
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 決 : Ⅰ動詞1 （作出主張; 決定） decide; determine 2 （執行死刑; 殺死） execute a person 3 （裂開; 斷開...
  • 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 ...
  • 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
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 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. A rate - dependent damage evolution modified zwt nonlinear constitutive ralation is adopted, an object function of least square was established according to the experimental results. the searching space of each decision variable was foreordained with conventional optimizing method, and all parameters in zwt model for solidified pf resin were determined with generic algorithms

    基於實驗曲線構建了最小二乘形式的目標函數，並採用傳統優化方法輔助設計了各個決策變量的搜索空間，進而用遺傳演算法確定了損傷型zwt非線性粘彈性本構關系中的材料參數。
  2. In chapter two, the general model of the optimum investment, consumption and periodical insurance payable at death for life is discussed and its corresponding optimum control question is solved. the optimum strategy can be got through the corresponding hib ( hamilton - jacobi - bellman ) equation. as to the crra ( constant relative risk aversion ), a sort of utility function, indicatively, the optimum investment process, consumption process and the periodical insurance payable at death for life purchasing process can be gained with the feedback form

    第二章討論最優消費、投資、定期人壽死亡保險的一般模型，解決了對應的最優控制問題，最優策略可通過求解hjb （ hamilton一jaeobi一bellman ）方程得到，當效用函數為crra （常數相對風險厭惡）類型時，顯式地得到具有反饋形式的最優投資過程、消費過程及定期人壽死亡保險購買過程。
  3. First of all, the data system in the article is discussed and the goal function used to optimize the agricultural structure and the inhabitable condition are offered. then according to the characteristic of agricultural data system the logical structure of data bazaar in the data warehouse in the system is designed and the program for drawing out the data for data warehouse are offered. and we use the analysis services in sql server 2000 to design the multi - dimension data volume, which laid the groundwork for the later olap and data mining, we make use of the technique of mining the association rules to discover the rules in the data which are processed in a certain extent

    本文首先探討了該系統中的數據指標體系，給出了相應的優化農業結構使用的目標函數和約束條件；然後根據農業數據的特點，設計了該系統中的數據倉庫中的數據集市的邏輯結構，給出了相應的數據倉庫數據的抽取程序；利用sqlserver2000中的analysisservices設計了數據倉庫的多維數據集，為後面的聯機分析處理和數據挖掘打好了基礎，並利用關聯規則挖掘技術，對經過一定處理之後的數據進行挖掘；最後選擇windows2000作為網路服務器、 sqlserver2000數據倉庫的服務器、利用microsoftvisualinterdev 、結合asp 、 frontpage 、 photoshop等作為系統開發平臺，設計開發基於intranet的農業結構優化決策支持系統，使得決策支持系統在intranet進一步擴展。
  4. This paper extends traditional newsboy model with time - based wholesale price and time - based forecasting precision under normally distributed market demanding, discusses the optimal decision about ordering timing and ordering quantity

    本文擴展了傳統的報童模型，以批發價和需求預測精度隨時間變化的報童問題為對象，研究市場需求函數為正態分佈的報童模型關于最佳訂貨時點和最優訂貨量的決策問題。
  5. Demand functions and decision - making behaviors of the bid participants are discussed and based on the asymmetric static games, the equilibrium price and the optimized quotation of bidders in bidding appraisal procedurement are forecast

    根據招標人和投標人的需求函數和決策方式，採用不對稱信息動態博弈預測執行議標程序時的均衡價格和投標人最優報價。
  6. 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。
  7. The non - renewable resources is introduced into the production function, this paper formulated the optimum decision - making model of social planer, used the stochastic analysis method, analyzed optimum decision - making which the social planer about the expense and the non - renewable resources utilize under the indefinite condition, and obtained the optimum storage quantity of capital demonstration way and the density of stability distribution, and give the policy meaning of the model

    摘要將不可再生資源引入生產函數構建了一個社會計劃者的最優決策模型，運用隨機分析方法，分析了不確定條件下社會計劃者關于消費和不可再生資源利用的最優決策，得到了最優資本存量的顯示路徑及穩態分佈密度，並給出了模型的政策含義。
  8. 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。
  9. 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。
  10. By comparing optimal target function, the paper shows a concise formula to the valuation of information. in the end, assuming the borrowing rate is bigger than saving rate, the paper provides explicit solutions to both logarithmic utility with partial information and power utility with full information by ito ' s formula other than the complicated dynamic programming. all of the strategies are suitable for operating online

    ）公式，得到了最優投資決策的簡單計算公式，通過比較完備信息與不完備信息情形下投資者的最優目標函數的差異，得到了（內部交易者獲得的）信息價值的簡潔公式，從而給出了信息價值的精確度量，並且該度量值易於投資者操作使用。
  11. 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。
  12. 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。
  13. In this thesis, we make an assessment and prediction of the performance of the structure with reference to the two theories of time - variably reliability and condition states and achieve favorable results, in the meanwhile, we established the relationship between condition states and maintenance cost, to optimize bridge life circle maintenance and set up objective optimization function and bridge maintenance safety provisions so as to meet the requirement of a reliable life circle structure and guarantee the least cost of maintenance for the bridge structure in its life circle

    文章利用時變可靠度的理論和條件等級思想的兩種理論對結構的性能進行評估和預測，並且收到較好的效果。同時，確定了結構條件等級同維護成本之間的關系。將橋梁壽命周期維護進行最優化決策，根據目標優化函數和橋梁維護安排準則:滿足壽命周期內結構可靠性的要求，同時保證橋梁結構在其壽命周期內其維護成本最小。
  14. 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。
  15. By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result

    本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
  16. To make it clear, the article use and analyze numerical value cases from bellmum and zadeh. finally in order to work out the value function in all forms and the expected value of optimization in all aspects easily, we take down all the problem existing in multi - stage stochastic decision processes. the solution of optimum is formed and multi - stage stochastic decision tree - table is introduced

    為說明問題，本文利用bellman和zadeh [ 1 ]的數值例，應用兩種方法進行分析，最後為了更方便的解出對所有形式的評價函數，及其期望值的最優化解對各種進行的發展，把經過多階段概率決策過程的問題記述下來，構成一個最優解的統一圖表，引入了多段概率決策樹表。
  17. 5 utility and optimal game of insurance apply the utility theory to insurance in order to confirm the optimal insurance premium for the insured

    5效用與保險最優決策從投保人的角度考慮，應用效用函數討論使投保人效用達到最優值的方案和方法。
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