因子分解演算法 的英文怎麼說

中文拼音 [yīnzifēnjiěyǎnsuànfǎ]
因子分解演算法 英文
factoring algorithm
  • 因 : Ⅰ動詞[書面語] （沿襲） follow; carry on Ⅱ介詞1 [書面語] （憑借; 根據） on the basis of; in accord...
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 解 : 解動詞（解送） send under guard
  • 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. To improve the accuracy of node trust evaluation in a distributed network, a trust model based on the experience of individuals is proposed, which establishes a new trust assessment system by introducing the experience factor and the comparative experience factor. the new evaluation system considers the differences between individuals and interactive histories between nodes, which solves the problem that nodes have inaccurate assessments due to the asymmetry of nodes to a certain extent. the algorithm analysis indicates that the new model uses different deviating values of tolerance evaluation for different individuals and uses different updating values embodying node individuation when updating feedback credibility of individuals, which evaluates the trust value more reasonably and more accurately. in addition, the proposed algorithm can be used in various trust models and has a good scalability

    為了提高分散式網路中各節點信任評價的準確度，提出了一種基於個體經驗的信任模型.該模型通過引入經驗因子和相對經驗因子的方法，建立了新的信任評價體系.這種新的信任評價體系考慮了個體節點的差異問題，在計算節點的信任值時考慮了節點間的交互歷史，這在一定程度上解決了由於節點的非對稱性而導致的信任評價不準確的問題.演算法分析表明:新模型能夠針對不同的個體節點，採用不同的最大容忍評價偏差，並且對個體節點的反饋可信度進行更新時，採用不同的更新值，體現了節點的個性化特徵，使信任評價更加準確合理.此外，所提出的新演算法能夠運用到多種信任模型中，具有很好的可擴展性
  2. This algorithm is based on the 16 - fft about square root decomposition, and using the phase revolution unit replaces multiplication, and uses the serial butterfly operation unit. at last, gives the correspond realization measure in fpga

    本文根據一種基於平方根分解的16點fft演算法，採用相位旋轉因子取代乘法器，並利用串列流水蝴蝶運算單元給出了一種新的實現演算法，並介紹了其在fpga中相應的實現方法。
  3. A chirp scaling algorithm for airborne bistatic sar is proposed, which is suitable for the flight configuration that transmitter and receiver follow parallel path with equal velocity in broadside looking mode. airborne bistatic sar echoed signal model of this particular flightpaths is derived. the model is converted into the range doppler space and is mapped from double range variables to single range variable domain

    本文建立了這種特殊飛行模式下雙基地sar的回波信號模型，推導了它在距離多普勒域的表達式，解決了信號模型從雙距離變量域向單距離變量域轉化的問題，並推導了cs因子的線性近似表達式，分析了演算法中各種近似造成的誤差。
  4. The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method

    本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。
  5. As a non - linear and multi - coupled system, the control of the ac induction motor ( acim ) has long been challenging. thanks to the vector control algorithm, acim can offer the same control capabilities and dynamic performance as traditional high - performance dc motors. with the vector control algorithm, the stator current of acim can be expressed in two orthogonal axes, and thus the rotor flux part and torque are de - coupled

    交流感應電機難于控制是因為它是一個非線性、多耦合的系統，矢量控制演算法通過坐標變換將異步電機的定子電流分解為轉子磁鏈方向和與之垂直方向的兩個分量分別進行控制，從而實現轉子磁通和轉矩的解耦，使得交流感應電機的動態性能可以和直流電機媲美。
  6. The work on seasonal dynamics of litter input and decomposition and the relationship between them and environmental factors was studied through the method of harvest and weight loss. soil respiration rate was measured by alkali - absorption method and the contribution from soil microorganism respiration and from root respiration was determined through trendline method of linear regression between soil respiration rate and belowground biomass. mathematical models were established between the seasonal dynamics of main components of soil total respiration including soil respiration, root respiration, soil microorganism respiration, litter respiration and environmental factors

    應用收獲法和重量損失法對枯枝落葉輸入與分解的季節動態及其與環境因子的關系進行了研究；應用靜態氣室法測定了土壤總呼吸和凋落物呼吸，應用土壤呼吸量與地下生物量線性回歸趨勢線法測定了土壤微生物呼吸及根呼吸的貢獻量，運用相關分析法建立了土壤總呼吸、根呼吸、土壤微生物呼吸及其凋落物呼吸季節動態與環境因子之間的數學模型；應用灰色分析比較了兩群落土壤呼吸季節動態產生差異的原因；應用干重換演算法對土壤微生物能量積累量的季節動態進行了測定，建立了土壤微生物能量積累量與環境因子的數學模型；應用系統分析方法，利用分室模型，對兩群落枯枝落葉與微生物之間的能量流動進行了定量測定和穩定性分析。
  7. This paper exhausts fully adjustable factor which could amend the dynamic function in fuzzy control system, and that traditional algorithms select factors with intercession is easy to get a partial solution, so this paper presents a new method to select factors based on genetic algorithm. this method has a large range over covered the solutions which could benefit to search the best solutions. it has great character and advantage

    本文充分闡述了可調整因子在模糊控制中能夠改善了系統的動態性能，並根據傳統的優化演算法在選取控制因子時是從單個初始值迭代求取最優解的、很容易陷入局部最優解這一問題，提出了一種基於遺傳演算法的可調整因子的選取方法，這種方法覆蓋面比較大，有利於全局擇優。
  8. On the relaxation factors of the parallel iterative domain decomposition method

    關于并行迭代區域分解演算法的鬆弛因子
  9. The preliminary results obtained by solving n - s equations show - viscous effects clearly. in addition, based on euler equations the effects of point distribution, cloud structure and weight selection on computational results have been analyzed, which results in having a convenient technique of point distribution in the computational domain and a rule of point selection forming an appropriate. clouds of points used in the computation

    此外，論文結合無粘euler方程的求解，對無網格演算法涉及的計算域內點的分佈、當地點雲結構及空間導數逼近的加權因子等問題對計算結果的影響進行了分析和比較，完善了方便的區域離散布點方法，明確了點雲生成選點準則。
  10. Aiming at the concrete need in srttep construction and embodying the managing theory of the combination of the prearranging programming and comprehensive control, the article proposes the cpm - based schedule operating program of srttep on the basis of the relationship among schedule program, cost and quality which thus realizes the close combination of schedule program and project control ; based on the comparative analysis of experience estimation method, factor estimation method, wbs estimation method and comparison estimation method, the cost controlling strategy is worked out that attaches importance to the srttep cost budget and market economy situation. meanwhile, comprehensive quality management theory is introduced in the project " s schedule program. aiming at subsidiary project bidding, equipment purchase, essential quality inspection, detailed quality insurance system and rules are worked out so as to achieve the goal of high - quality construction of srttep

    （ 3 ）針對川塔項目施工建設具體需要，在充分體現項目事前規劃與全面控制相結合管理思想和所進行的項目wbs結構分解基礎上，基於項目進度? ?費用成本? ?質量三者之間的關系，提出了基於cpm關鍵路線法的川塔項目進度計劃制定方案，實現了進度規劃與控制的緊密結合；在對比分析經驗估演算法、因素估演算法、 wbs估演算法、類比估算等方法和技術基礎上，制定了側重於預算的川塔項目成本基本規劃方法，以及結合市場經濟情況的成本控制策略；同時將全面質量管理思想，引入了項目施工方案中，針對子項目招標、設備采購、重點質量監控點等設立了詳細的質量保障機制和細則，以確保達到工程優質建設的目標。
  11. Abstract : in this paper, we propose an improved lagrangian relaxation algorithm to solve job - shop scheduling problems. besides the addition of augmented objective, we expand the search scope of near - optimal solutions and improve the computational efficiency greatly by restricting the solution scope of sub - problems and modifying the search method of dual problem. at the same time, we develop a genetic algorithm combining with the lr ( lagrangian relaxation ) method. using the numerous useful solutions we get in the lagrangian relaxation as the original genes, we can improve the solution further. test results show that these methods achieve satisfied outcome for job - shop problems. they can also be applyed to other programming problems with constraints

    文摘:針對車間調度問題，提出了一種改進的拉氏鬆弛演算法.在增加輔助目標函數的基礎上，通過對子問題的限制和搜索策略的改變，使拉氏演算法的計算量減少，近優解的搜索能力有很大改善.本文還提出了一種基因優化演算法，充分利用拉氏演算法得到的多個近優解，進一步優化結果.模擬結果表明對車間調度問題得到了較好的結果.本方法也可用於其它有約束的規劃問題
  12. The solution formula of dwell time is deduced by using the pulse iteration method and the smoothing fourier transition method, and the formula can be simplified referring to workpiece shape. according to the anastomotic status of the tool and workpiece surface, we present the new model of the inherent relation among local pressure density, removal rate, convergence ratio and residual errors, and the corresponding formulas are given. the forming cause of the edge effect in the polishing process is analyzed, and the means which reduces the edge effect is put forward

    2 、針對計算機控制光學表面成形（ ccos ）的加工方式、誤差收斂特點，研製了去除函數呈高斯分佈的雙轉子結構研拋模；採用脈沖迭代法、平滑因子傅立葉變換法推導出駐留時間的演算法，求解過程中根據工件面形的特點作了各種形式的簡化；提出了工件表面和研拋模的吻合誤差與局部壓強、材料去除率、收斂比之間內在關系的數學模型，並推導出相應的計算公式；分析了邊緣效應產生的原因，在加工過程中採用相對壓力因子對去除函數進行修正，可以消除邊緣效應的影響。
  13. ( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results

    （ 4 ）用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求，提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法，實例分析表明，本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。
  14. Qga combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on mp is an optimal problem, so it can be fast solved by qga

    量子遺傳演算法能用較小的種群規模實現較大的空間搜索，全局尋優能力強，基於匹配追蹤的圖像稀疏分解是最優化問題，因此可用量子遺傳演算法快速實現。
  15. The approach extends the parallel factor ( parafac ) analysis model from the common data - domain and subspace multiple invariance sensor array ( mi - sap ) formulations to the cumulant one, and forms three - way arrays by using the cumulant matrices got from array outputs, and analyzes the uniqueness of low - rank decomposition of the three - way arrays, then jointly estimates the ranges, frequencies and doas from the matrices via low - rank decomposition

    該演算法將通常在數據和子空間域應用的平行因子分析模型擴展至高階累積量域，利用陣元輸出計算的高階累積量矩陣構造三面陣，分析了該三面陣低秩分解的唯一性，並從分解得到的多個矩陣中聯合估計信源距離、頻率及到達角。
  16. Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared

    由於在模糊控制器的設計過程中存在較多的人為因素，為了實現根據系統特性對模糊規則和隸屬函數進行自動修正、完善和調整，本文將遺傳演算法和模糊控制結合起來，並針對前面設計的模糊控制器中所存在的問題進行了詳細分析，提出了兩種改進方案： 1在簡單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個輸入量，並在模糊控制器的輸出端加入比例、積分環節，然後分析了這種改進后的模糊控制器的解析結構，最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化，並將優化前後的結果作了比較和分析。 2
  17. In chapter 2, by defining some concepts, such as constraint unit, constraint aggregate, constraint relation, constraint method, constraint chain, constraint degree and associate constraint sub _ aggregate etc. the basic constraint factors that affect the complex pipeline system packing are fully analyzed in the first. in the following, a mathematical modelling method used for complex pipeline system " optimization packing design is brought forth based on the optimization target decomposing, then a mode of generalized proposal field of the complex pipeline system packing design is constructed. finally, a variant genetic algorithm for the solution of the mode mentioned above is derived

    第二章，通過定義約束元、約束集、約束關系、約束方法、約束鏈、約束度、關聯約束子集等概念，對影響復雜管線系統規劃布置的基本約束因素進行了較為全面、系統的分析；探討了基於目標分解的復雜管線系統優化布置問題的數學描述方法，建立了面向復雜管線系統布置的廣義布置方案場模型，並在此基礎上設計了求解該模型的變異遺傳演算法。
  18. For example, because of the feature of quantum superposition, scientists have developed some skillful parallelism arithmetic, which can be used to resolve efficiently some hard problems for classical computers, such as factorization of large numbers

    例如：由於量子態具有相干疊加的特性，人們構造出量子并行演算法，它能夠處理一些經典計算很難解決的問題，像大數的因式分解等。
  19. The field of quantum computers has been revolutionized by the work of shor on factorization of large numbers

    最近，大數因子分解等一系列量子超快速演算法的發現使量子計算機的研究取得了革命性的進展。
  20. In this thesis, we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction, which extend the nmf to include the option to control sparseness explicitly

    本文主要採用snmf （非負稀疏矩陣分解）演算法作為降維和提取特徵向量的工具，該演算法是在nmf演算法的基礎上加上顯式地稀疏因子控制而形成的一種非負矩陣分解方法。
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