隱式演算法 的英文怎麼說

中文拼音 [yǐnshìyǎnsuànfǎ]
隱式演算法 英文
implicit algorithm
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 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...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. Parallel algorithms of accelerative iteration for solving implicit difference equations

    求解隱式差分方程的加速迭代并行演算法
  2. In this thesis, used thermocouple to sense the temperature in the space of the hearth, attributed the thermocouple based on calorifics and scientific arithmetic, acquired data by data acquiring card, processed data according to the demand of setting up temperature model and drawing graphics and then caculated the coordinates of isothermal points and normals of isothermal facets, ascertained the order of connecting points and the model of construct, drawed the isothermal facet of temperature field with opengl at last

    通過數據採集板卡進行數據採集並與計算機介面進行數據處理。然後，將處理后特殊點的溫度數據依據marchingcubes演算法建立數學模型求取等溫面上的點的坐標及各點的法向量等。最後，確定計算的三維坐標點的連接順序和拓撲模型，利用opengl進行等溫面的繪制、消隱和模式變換等工作。
  3. Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node

    首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。
  4. Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents

    進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。
  5. A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier

    本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。
  6. During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,

    Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。
  7. ( 3 ) the paper firstly brings forward the concepts of concealed fragment, apparent fragment. it also advances two fragment generation methods : facet equivalence method and facet set enclosing method, and realizes three practical algorithms : the first one is to make a virtual entity particulate, the second is facet equivalence algorithm, the last is seed facet set enclosing algorithm. the paper analyzes and compares the last two methods and related algorithms, researches on applying the two methods to the break process of a virtual entity

    （ 3 ）在深入探討爆炸模型的構造和實時顯示的基礎上，提出了隱式破片、顯式破片的最新概念和兩種生成破片的方法：小面片等價法和面片集封閉法，並給出了三個實用的演算法：虛擬實體的微粒化演算法、小面片等價演算法和面片集封閉演算法，並對小面片等價法和面片集封閉法及其演算法進行了比較。
  8. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  9. In latter part of chapter three, some exciting properties of the revised lagrangian function discussed first, which leads to form a dual algorithm of cora or cot. convergence theorem proved by banach perturbation theorem, bertsekas implicit function theorem ii and by analyzing hesse matrix of revised largrangian function

    另一類是構造相應的lagrange函數及其一種對偶演算法的迭代格式，討論了修正lagrange函數的性質，並藉助banach擾動定理及bertsekas第h隱函數定理，及對修正lagrange函數hesse陣分析，證明了該演算法的收斂性
  10. Using method of oil - flow visualization techniques and measuring pressure distribution along airfoil chordwise and spanwise studies have been down for sidewall boundary - layer displacement effect in two - dimensional wind tunnel. three different chord models were tested in two different wind tunnel. in order to clarify the sidewall effects and study method of sidewall suction theory and sidewall interference correction method to remove effects of sidewall on model. the results of oil - flow test show that selection rational suction wary can obtain better testing results. by investigations on effects of the sidewall boundary layer suction and application of a sidewall interference correction method

    為了很好地解決多機場航班隊列的擁塞問題，在將進場容量、離場容量與機場容量作為統一整體的情況下，充分考慮了機場間的網路效應，詳細研究了多機場航班隊列的優化問題，建立了多機場開放式非實時流量管理的數學模型，通過選取適當的決策變量，使其為線性0 - 1整數規劃模型，實現了中心流量集中管理.與其它演算法不同，本文提出的啟發式隱枚舉演算法能很好地解決此類問題，對某機場網路系統的模擬結果證明了所建模型、優化演算法及相應軟體的有效性和可靠性
  11. ( 2 ) intersectioning algorithm of nurbs surface and general implicit surface is researched in which the parametric formula are substituted into the implicit surface equation and then get the nonlinear two - dimensional equation on parametric domain

    （ 2 ）實現了nurbs參數曲面與廣義的隱式曲面的求交演算法並將其應用於船體曲面與水線面的求交中。
  12. Searching of the state space is always being one of the usual ways for solving the optimal problems. the traditional ways of finding solutions only have backtracking, branch - and - bound and implicit graphs search as their theoretical introduction

    狀態空間搜索是解決優化問題的常用方法之一，傳統的狀態空間搜索求解技術有回溯法和分支限界法以及隱式圖搜索這些演算法策略作為理論指導。
  13. In order to resolve the question, in the thesis a simulation arithmetic of hydro - electrical system is put up. the equations of hydro - electrical system are divided to two parts, one of which consists of the differential equations of conduit system, hydro turbine and generator ' s rotator and is solved by characteristic equation arithmetic, the other of which consists of the differential equations of generator, magnetic system and grid and is solved by longge - kuta arithmetic or covert integrated arithmetic. through the alternative solving of the two parts, the simulation results of the large - disturbance transient could be abstained eventually

    為解決這一問題，本文提出了一種將水力系統和電力系統方程交替求解的水電系統聯合模擬演算法，即將包括輸水系統、水輪機以及機組轉子等部分的水力系統差分方程作為一部分，將包括同步發電機、勵磁系統以及電網等部分的電力系統微分方程或差分方程作為另一鄭州大學工學碩士論文部分，對前一部分採用特徵線法求解，對后一部分根據模型形式採用龍格一庫塔法或隱式積分法等演算法求解，這兩部分的求解過程交替進行，最終即可得到水電系統大擾動過程的模擬結果。
  14. Three finite - difference methods, i. e., stagger grid, implicit and explicit algorithms, are analyzed in detail. multi - grid algorithm is firstly introduced in elastic wave simulation, to solve for the stability problem inherent in stagger grid and implicit algorithm, also for the efficiency problem inherent in explicit algorithm, and the precision, stability and efficiency for simulation of elastic wave arc increased by multi - grid method. phase - delay method is provided to effectively absorb boundary reflection and increase efficiency for wave motion simulation, based on phase delay and amplitude decaying features along wave propagation

    在水平分層介質接收函數的波形反演研究的基礎上，本文系統闡述了非均勻介質中彈性波傳播數值模擬常用的三種有限差分方法：顯式差分、隱式差分和交錯網格法，首次將多重網格演算法應用於彈性波方程的數值模擬問題，克服了交錯網格法和顯式差分法穩定性差，以及隱式差分法計算效率低的缺點，大大提高了彈性波數值模擬的精度、穩定性和計算效率。
  15. A modified svm model was proposed and implicit function relationship between nodal pressures and pump station flow, pump station head was established based on modified svm model

    本文提出了一種改進svm演算法，並基於該演算法建立了測壓點壓力和泵站流量、水頭之間的隱式函數關系。
  16. After expounding vr concept and its characters, the necessity and rationality of vr existence and its application in cad / cam, several other aspects are studied : first, the three kinds of stereoscopic display theory are set forth and the research is focused on the theory which is based on parallax and discussed from the aspects such as the physical basis of the third dimension production, the influencing factors of third dimension, the theory and arithmetic of drawing stereoscopic figures etc ; second, the difference among vr, other interaction methods and vr ' s status are studied from the perspective of human computer interaction development, the cognitive psychology model of vr interaction is analyzed and a classification study on vr is done according to different operation missions and metaphors ; third, the concept of virtual design is given out based on the research on its other concepts, then the difference among vr, cad and the realization of virtual design are studied

    在闡述虛擬現實的基本概念與特性、存在的必要性與合理性，以及在cad / cam方面的應用的基礎上，本文深入研究了: 1 .虛擬現實的三種立體顯示原理，著重於基於視差方式的立體顯示，從以下幾個方面進行了多角度的探討:產生立體感的生理基礎，立體感影響因素，立體圖繪制原理與演算法等。 2 .虛擬現實的交互原理，從人機交互的發展角度研究了虛擬現實與其它交互方式的異同以及它所處的地位，分析了虛擬現實交互的認知心理學模型，並按作用於對象的任務不同和交互隱喻方式的不同對虛擬現實的交互方式進行了分類研究。 3 .虛擬設計，在研究虛擬設計的各種定義方式的基礎上定義了本文中虛擬設計的概念，研究了它相對于傳統cad的不同之處，以及虛擬設計的實現規劃。
  17. And then, in the simulation of three - dimensional, the application of o - type grid and hybrid grid are used in two relatively complicated structures make the total amounts of grids and the time of grid generation reduced greatly. moreover the hexahedron grids are placed in most areas to provide higher precision. through the comparison between the results of two - dimensional and three - dimensional simulation, we knew two - dimensional calculating is not adequate

    本文用簡單、方便的二維模型作為數值計算的起點，使用耦合隱式演算法以及先進的v2f湍流模型進行求解，成功地捕捉到了激波，觀察到主氣流從壁面的分離、切換、再附壁等現象，並對計算結果進行了細致的分析，得出一些有意義的結論；在此基礎上，本文在國內外首次對超音速射流雙穩閥的三維流場進行了計算。
  18. A inter - frame error concealment algorithm based on motion estimation is proposed in this dissertation, the motion vectors and coding mode can be rebuilt, it can be applied in any frame modes and macroblock modes

    本文提出了基於運動估值的幀間預測錯誤隱藏演算法，能對運動矢量和編碼模式的進行有效重建，適應各種情況的幀間錯誤隱藏。
  19. An alternating segment implicit method for burgers equations

    方程的一種交替分段隱式演算法
  20. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
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