泛函演算 的英文怎麼說

中文拼音 [fànhányǎnsuàn]
泛函演算 英文
functional calculus
  • 泛 : Ⅰ動詞1 [書面語] （漂浮） float; drift 2 （透出; 冒出） be suffused with 3 （淹沒） inundate; floo...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 演算 : perform mathematical calculations; calculation; calculus演算器 exerciser
  1. This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers. in the optimization calculation process, mutation rate, cross rate and parameter range are adaptively changed to accelerate optimization process

    本文用遺傳演算法優化工程中廣泛使用的pid控制器的參數，採用變參數區間、變交叉變異概率等方法提高計算速度，並對適應值函數進行了改進。
  2. Results show that the aspects are obviously improved in the requires of functional qualities, computational accuracy, convengence and computational speed of algorithms. by this, the new technique of variational data assimilation maybe has wilder application in practice

    所得結論表明，與傳統的四維變分同化方法相比，本文提出的方法在函數性態要求、計算精度、演算法收斂性和計算速度方面有了明顯改善，使得變分同化技術有可能更廣泛地應用於實際業務。
  3. Md5 message - digest algorithm 5 ; rfc 1321 is a widely used cryptographic hash function with a 128 - bit hash value

    Md5 （消息摘要演算法5 ； rfc 1321 ）是一種廣泛應用的加密散列函數，使用了128位的散列值。
  4. Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,

    具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象，在闡述了曝氣過程式控制制參數選取可行性的基礎上，建立了以溶解氧濃度do和活性污泥排放量qw為控制變量，以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論，在現有關于污水處理最優控制問題研究的基礎上，建立了有約束條件多變量能耗最小數學模型，該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件，曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化，並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元，應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解，並進行模擬實驗驗證。
  5. Another algorithm is based on pixels : sample many points along the curve, round them to the nearest integer and set each pixel the computed point falls in. although this algorithm uses integer arithmetic, it provides the smooth curve possible at the expense of computation time as many points have to be computed to ensure that no gaps are created along the curve. furthermore these two algorithms we mentioned above is appropriate for low degree parametric curves, for high degree parametric curves, we usually approach them by using low degree rational parametric curves, the generating curve ' s fairness property is not very good

    我們知道當節點矢量的兩端節點均為k重節點且無內節點時， b樣條基函數退化為bemstein多項式，因此該生成演算法還可推廣到b能ier曲線中，具有廣泛的應用價值、同樣地，在cad和cagd中，有理b樣條曲線，特別是非均勻有理b樣條曲線（ nurbs ）已經成為曲線曲面設計中最廣為流行的技術，然而對這些曲線目前也尚無很好的曲線生成演算法，因此有理b樣條曲線的生成演算法無疑有著更重要的意義
  6. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  7. 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。
  8. Details are as follows : we deal with properties of bilevel linear programming and prove the equivalence of bilevel linear programming and optimization over the efficient set. a class of multi - objective tow level programming, i. e. the upper - level is single objective and the lower - level is linear multi - objective, is mainly discussed. it can be converted into the optimization over the efficient set with parameter and an algorithm is given with its finite termination being proved ; when the upper - level is linear function, an exact penalty function algorithm is given

    分層（分級）遞階系統是社會組織管理的主要形式，多層規劃是研究這類系統優化問題的基本模型，其鮮明的實際背景和廣泛的應用前景引起了人們的廣泛關注，成為一個新興的活躍的研究領域，本論文研究了二層規劃中的若干問題，主要工作如下：討論了二層線性規劃的性質，並證明了它與零有效集上優化問題的等價性；對一類二層多目標規劃（上層為單目標規劃、下層為線性多目標規劃的問題）進行了探討，將其轉化為含參變量的有效集上的優化問題，進而給出了一種演算法，並證明了該演算法的有限終止性；當上層為線性單目標時，給出了一種罰函數方法
  9. Using the conic function model local approximation, w. cdavidon ( 1980 ) proposed a class of iterative algorithms with modified matrix combining function value, furthermore under the theory d. c. sorensen has used local quadratic approximation method, then applying collinear scaling idea improving on the above algorithm and generalizing it, getting a class of collinear scaling algorithm, unifying former quasi - newton. in the paper, using local quadratic approximation method, the first, constructing the new collinear scaling gene, getting a class of the new collinear scaling algorithm with briefness and numerical stability, ., we discusses some properties of the algorithm and its local linear convergence, q - superlinear convergence and the whole convergence ; secondly we have made numerical experimentation and numerical analysis ; the last, we have done much discussion for collinear scaling idea and given the several new collinear scaling algorithm

    本文的工作就是基於局部二次逼近原理，首先通過構造新的共線調比因子，得到了一類新的更簡潔，數值穩定性更好的共線調比演算法，進而我們給出了本共線調比演算法的局部收斂性，全局收斂性以及演算法q -超線性速度的理論證明；其次，用經典的無約束優化五大考核函數就本共線調比演算法進行了數值試驗和數值分析；最後，就局部二次逼近思想，進行共線調比演算法思想進行更廣泛的討論，給出了幾個新共線調比演算法。
  10. The proposed approach is robust to local minima of the energy functional because it is minimized by dynamic programming method in the whole energy space

    由於採用了動態規劃法並在整個能量空間中搜索能量泛函的極值，演算法對能量泛函的局部極值有較強的魯棒性。
  11. Based on modern optimization theory and optimal control theory, this dissertation studies some questions as follows : 1. the optimization model of parameter identification of three - dimensional geologic history numerical simulation, algorithm and its application geologic history numerical simulation is a basic content of basin numerical simulation, and the porosity is the major parameter in the evolution and development process of oil - bearing basin. according to the sedimentation and burial mechanism, the physical and chemical principles of oil geology, the mudstone porosity ' s non - linear parabolic partial differential equation has been established

    本文應用現代最優化及最優控制理論，對如下一些問題進行了研究： 1 、三維地史數值模擬的參數辨識優化模型、演算法及應用地史模擬是盆地數值模擬的一個基礎性的研究內容，地層孔隙度是含油氣盆地地史演化發育過程中的重要參數，根據地層沉積埋藏機理和石油地質的物理化學原理，通過引入數學物理方程概念，建立了泥巖三維孔隙度場方程，根據問題的特點，給出了方程的定解條件，對方程的動邊界也給出了處理方法，並且證明了解的存在性與惟一性，在此基礎上建立了以當今實測數據為擬合準則的三維地史數值模擬的參數辨識優化模型，這是一個含有二階偏微分方程約束的泛函極值問題。
  12. The contents involve the recursion algorithms, the dual functional of sbgb basis and the transformation formula between sbgb basis and bernstein basis

    給出它們的遞歸演算法， sbgb基函數的對偶泛函，並由此得到sbgb基函數與bernstein基函數轉換公式。
  13. Genetic algorithm is a searching algorithm that simulates biology evolvement in nature. because of its briefness, strong robustness, especially it need not expert domain knowledge but fitness function as the value guide searching process, its applications are very abroad

    遺傳演算法是一種模擬自然界生物進化的搜索演算法，由於它的簡單易行、魯棒性強、尤其是其不需要專門的領域知識而僅用適應度函數作評價來指導搜索過程，從而使它的應用極為廣泛。
  14. 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。
  15. The conclusion which, for a given non - extremal admissible control, another admissible control can be constructed such that the corresponding value of the objective functional decreases is proved, based on the result, an optimality condition is obtained and the strong variational method which solves optimal control problem is presented and the associated convergence result is proved also

    證明了對任一非極值允許控制函數，均可構造另一允許控制函數，使最優控制問題相應的目標泛函值有一下降量。在此基礎上得到了最優控制問題最優性必要條件，並給出了求解該最優控制問題的強變分法及演算法的收斂性結果。
  16. Chapter two is focused on the wang - ball curves, including definition, properties and recursive algorithms. using the dual functional of the wang - ball basis, the author derives the subdivision algorithms for the wang - ball curves for the first time and then obtains some identical equations of calculation combination

    第二章介紹wang - ball曲線的定義及性質，以及wang - ball曲線的遞歸求值演算法，利用wang - ball基函數的對偶泛函，作者在這里給出wang - ball曲線的顯式細分演算法，並由此導出幾個計算組合恆等式。
  17. Then the model is simplified, the theory of martingale, simulation, and diffusion approximations are discussed firstly. these methods are applied in the model. then get some useful results, so we can estimate the upper bound for the ruin probability and the approximation of the finite time ruin probability

    並詳細的討論了模型有限時間內破產概率和最終破產概率的估計，應用隨機過程序列弱收斂，鞅以及隨機模擬等理論，得出一些有意義的結果? ?在有限時間內破產概率的逼近表達式；最終破產概率的上界和有限時間內破產概率上界；有限時間內破產概率的隨機模擬演算法；並得到最終破產概率滿足的泛函方程。
  18. The software system investigated in this thesis is used to control the trace heavy metal determination instrument to run the test and analyze data, the software system consists of several modules including data communication data preprocess pre - treatment respecting to real - time performance data storage, etc. the communication between the instrument and the server is based on serial port rs - 232 or ethernet port and the communication among the modules in the software system is based on the message mechanism in windows

    並通過儀器對pb和cu混合溶液檢測的實驗，驗證了聯用多種演算法可以自動對數據進行有效的處理。在對管理控制部分的論述中，文章研究分析了目前集群系統廣泛採用的消息傳遞機制，並論述軟體系統如何使用消息機制協調軟體各個功能模塊的運作。在系統與主機的通訊模塊的設計中，文章論述了如何使用windowsapi函數實現系統的串列通訊介面和ethernet介面。
  19. Its function approximation property is analyzed. in the view of generalization ability of wavelet network, a constructive method of designing wavelet network and a new learning algorithm are proposed to obtain improved network ' s performance. the latter is a multiresolution wavelet model based on multiresolution analysis theory

    文中分析了此種小波網路的函數逼近能力，從網路泛化能力的角度，給出了網路結構具體的設計方法，提出了一種學習速度更快的新的參數混合學習演算法。
  20. By means of the dual functional of said - ball basis, the marsden identity is got in terms of said - ball basis, and the transformation formula from bezier curves to said - ball curves is presented, and the subdivision algorithms for the said - ball curves is also described

    利用said - ball基函數的對偶（泛函）基，得到冪基函數在said - ball基下的marsden恆等式，及從b zier曲線到said - ball曲線的轉換，並給出said - ball曲線的細分演算法。
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