最近使用演算法 的英文怎麼說

中文拼音 [zuìjìnshǐyòngyǎnsuànfǎ]
最近使用演算法 英文
algorithm least recently used
  • 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
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 使 : Ⅰ動詞1 （派遣; 支使） send; tell sb to do sth : 使人去打聽消息 send sb to make inquiries2 （用; ...
  • 用 : Ⅰ動詞1 （使用） use; employ; apply 2 （多用於否定: 需要） need 3 （敬辭: 吃; 喝） eat; drink Ⅱ名...
  • 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...
  • 最近 : 1. （近來） recently; lately; of late 2. （距離最近的） nearest3. （最近的將來） in the near future; soon
  1. Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm

    優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度
  2. Finally, a method is put forward to construct the nurbs curves on sphere, which extends the de boor recursive algorithm in r3 to one on the sphere by replacing the geodesic distances for the lines and studies their many geometric properties analogous to those in euclidean spaces, such as the differential property, the local property, the parameter invariance under a projective transformation, and so on

    兩種方法均給出誤差估計，使逼近螺線可達到任何預先給定的精確階。最後，給出球面nurbs曲線生成演算法：用球面上測地線? ?劣大圓弧代替直線段，將歐氏空間r ~ 3中的deboor遞推演算法推廣到球面上構造麯線。
  3. Abstract : the gpc or crhpc strategy with input constraints will be possible to lead to infeasibility of the control algorithm and the performance of the control system will get degradation or instable. in order to overcome this problem, a control algorithm with guaranteed feasibility is proposed in this paper. it is shown that the algorithm makes the plant asymptotically stable and drives condition setpoint close to the actual setpoint of the plant

    文摘:在系統輸入受限的情況下，採用一般的廣義預測控制或受限時域預測控制有可能會造成控制演算法不可行，從而使系統的性能變壞或不穩定.針對這個問題，本文提出一種保證可行性的控制演算法，並證明該演算法能夠使系統漸近穩定且最終使條件設定值跟蹤系統的實際設定值
  4. Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory

    對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。
  5. In this paper, systemic theoretic analysis of the relationship of stock structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the neural networks model that can reflect their relationship total and systemic is established. the input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. the evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the best result weights confirm method is brought forward, thereby, the fuzzy integrate evaluations method is improved

    本文對股權結構與經營績效之間的關系作了系統的理論分析，並在此基礎上，將理論研究和實證分析有機地結合起來，建立了一個能全面、系統地反映它們之間關系的神經網路模型：該模型的輸入變量在反映股權結構全貌的同時又體現了公司績效的其它影響因素；提出了可以全面、客觀、真實地反映上市公司經營狀況的評價指標體系，同時提出了最佳結果權重確定法，從而改進了模糊綜合評價方法，並利用改進的模糊綜合評價法求出公司經營績效的綜合量化值作為神經網路的期望輸出；改進了神經網路模型的演算法，使其在樣本數據相對較少的條件下也能很好地在性態上模擬被逼近函數。
  6. In this paper, the principle of euclidean distance transform based on binary images was demonstrated in detail, and it also introduced the implementation schemes and calculation capabilities of those algorithms for euclidean distance transform which are known. with focus on the practical application, we took some reforms in this paper to implement the distance transform algorithm based on the advantages of previous researches

    針對歐幾里德距離轉換演算法的實用性，本文在吸取前人研究成果的基礎上，分析了不同演算法的實現原理和計算性能，對計算性能最接近實際應用要求的演算法，在實現方案上做了相應的改進，提高演算法實現電路計算速度和減小其電路規模，從而使基於硬體實現的歐幾里德距離轉換演算法更具有實用性。
  7. The best approximations algorithm is just the method which can solve the mini - max solution of the least value of frequency deviation. because of the reason above, in this paper the best approximations algorithm is introduced into calculating the parameters of atcxo compensation network for the first time

    最佳一致逼近演算法正是能夠求解出使頻率偏差的絕對值最小的極小極大解的一種方法，為此將最佳一致逼近演算法首次應用於模擬溫補晶振補償網路參數的計算中。
  8. The water quality respond relation of input - output measurements are established by systematic theory in this paper. according to the peculiarity of hydrology and the necessity of water quality inverse problem the multi - parameter inverse problem model based on ordinary differential equation is developed. the existence and uniqueness of the solution of the ordinary differential equation about two parameters or multi - parameter are to be proved. the unstability depending on errors between monitoring data and interpolation approximate data are analyzed and demonstrated. cubic spline interpolation function, the least two multiply and positive rule method are conjoined for obtained solution of multi - parameter. the results from this algorithm indicats its efficient to the multi - parameter identification in water quality modeling

    本文應用系統理論，建立了水質多參數輸入輸出之間的響應關系；根據河流水文水質變化特點和參數反問題的需求，建立了水質常微分方程多參數反問題模型.根據常微分方程參數反問題的數學理論，作者給出了兩參數和多參數水質常微分方程反問題的解的存在性、唯一性的理論證明過程和結論；還針對水質現有監測資料的測驗誤差和插值近似計算誤差造成參數反問題的不穩定性，將三次樣條插值函數、超定方程最小二乘法和正則化演算法有機地結合使用，成功地給出了水質參數反問題的穩定化演算法.最後給出了應用計算結果
  9. Considering the np - complete problem, how to get the approximate optimized scheme of job - shop scheduling, and aimed at improving the efficiency of products and taking good advantage of concurrence, asynchronism, distributing and juxtaposition in multi - products and devices processing, we could divide the working procedures into the attached one which has the only precursor and subsequence and unattached one by analyzing working flow chart of job - shop, that is the working procedures are divided into two types, then the bf and the ff methods about memory scheduling in os are applied, therefore a new approximate optimized scheme is presented in the paper which could solve the common job - shop scheduling. namely, the acpm and the bfsm are applied to the classified and grouped working procedures considering the compact of the procedures and practical examples approved it. the results we analyzing and tested show that it is better than the heuristic algorithm common used, for less restriction terms, more satisfying algorithm complexity and better optimized results

    針對job - shop調度問題求最優解演算法這一npc問題，本文以充分發揮多產品、多設備加工所具有並發性、異步性、分佈性和并行性的加工優勢，從而提高產品的加工效率為目標，對job - shop調度問題的工藝圖進行適當分解，使工序在一定時間段或是為具有唯一緊前、緊后相關工序或是為獨立工序，即將工序分兩類，再結合操作系統中內存調度的最佳適應（ bf ）調度方法和首次適應（ ff ）調度方法的先進思想，通過分析提出了一種解決一般job - shop調度問題的全新近優解方案：在考慮關鍵設備上工序盡量緊湊的前提下，將工序分類、對這兩類工序分批採用擬關鍵路徑法（ acpm ）和最佳適應調度方法（ bfsm ）安排工序的演算法，用實例加以驗證，並給出結果甘特圖。
  10. The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively

    對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。
  11. We got the spatial distribution map of population density by spatial interpolation, in which the population data are distributed on the grids. the results of the distribution of interpolated based on gis is closed to a real population distribution. the combination of the spatial interactive models and a shortest path algorithm for public transit network is analyzed by supermarket ' s accessibility based on pedestrianism and public transit. this methods may be used to investigate potential supermarket ' s locations. the quantitative analysis about the supermarket ' s market area is realized based on trade mode of lashmanan and hansen, which mainly includes spatial distribution of population, traffic accessibility and free competition between different firms

    文中應用空間內插技術實現了人口數據空間分佈化，將人口數據通過空間插值分佈於研究區域內，使人口空間分佈更接近實際；應用公交最短路徑演算法及空間相互作用模型實現了基於步行和公交出行的超市可達性，將交通對超市選址的影響定量化，方便了方案的比選；在綜合考慮人口空間分佈、超市交通可達性、現有零售商業競爭態勢的基礎上，基於拉、漢購物模式實現了超市商圈定量分析。
  12. 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。
  13. Genetic algorithm is using here to provide a good way to make different robots away from each other and near to their last destination during a map - building job. lower percentage of repeated searching and collision is then proven by computer simulation

    利用遺傳演算法使多個機器人盡量保持相互遠離並且距離原來的位置最近的狀態下進行環境探索，模擬實驗證明該演算法可以減少多機器人重復探索的幾率，並使機器人間碰撞幾率得到很大程度的降低。
  14. In seeking an overall so lution for multi - objective optimal design, fuzzy sets and closeness are use d to solve the blindness of optimization and the difficult of the synthetic weighted method, and overcome the shortcomings in the former design for reliability and make the parameters more advanced, more reasonable and more accurate

    在尋求多目標優化全局最優解過程中，為減少全局尋優的盲目性，解決統一權法加權處理的困難，應用了模糊集合概念和貼近度演算法，從而克服了原設計方案可靠性方面的缺陷，使設計參數更加先進、合理、準確。
  15. The driver may use several algorithms, including the lru least recently used replacement algorithm, to implement the caching scheme

    驅動程序可以使用多種演算法來實現緩存方案，包括lru （最近最少使用的）替換演算法。
  16. The main work of the thesis is as follows : we design a novel omni - mirror more applicable in robocup, which is made up of an isomeric horizontal mirror and an isomeric vertical mirror and can make the resolution of the imaging of the objects near the robot on the field constant and make the distortion of the imaging of the objects far from the robot small in vertical direction ; we select a 1394 digital color camera and complete the development of its software program for data acquisition ; we design a image processing algorithm for the panoramic image, which can segment the image by color, extract the features of image fast and effectively and complete the recognization of target ; according the character of the imaging, we design a new fast hough transform algorithm for line detection, which can detect the white mark lines of the field realtimely, and then design a robot ’ s self - localization method based the mark lines, which only uses the information of omni - vision system ; finally we design a monte carlo localization method based on the information of omni - vision system and odometry, and present the localization results of two localization methods and analyze the experiment results and get the conclusions

    本論文的主要工作如下:設計了一種新的更適用於機器人足球賽的全向反射鏡面，該鏡面由水平等比鏡面和垂直等比鏡面組合而成，能夠使機器人近處一定范圍內水平場地上的物體成像解析度不變，遠處物體成像高度上變形較小;選擇了一款基於1394介面的數字攝像機，並完成其數據採集程序開發;針對全景圖像設計了圖像處理演算法，能夠快速有效的實現圖像顏色分割和圖像特徵提取，完成目標識別;根據全景圖像的成像特性，設計了一種新的用於直線檢測的快速hough變換演算法，能夠實時的提取出場地的白色標志線，並在此基礎上設計了完全利用全向視覺信息的基於標志線的機器人自定位方法;最後設計了一種基於全向視覺信息和里程計信息的montecarlo定位方法，給出兩種方法的定位結果，並分析實驗結果，給出結論。
  17. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  18. This paper researches the three - layered b - spline neural network, which is commonly used in engineering and presents a constructive algorithm for selecting the number of the hidden nodes. it is proved that the proposes algorithm can be used to build a b - spline neural network with minimum hidden nodes to approximate any continuous function defined on compact set to a prescribed accuracy

    本文研究了工程上常用的三層b樣條神經網路，採用構造性的方法證明了b樣條神經網路的全局逼近能力，並且給出了構造幾乎最小隱節點的演算法，從而在理論上為b樣條神經網路的使用提供了依據。
  19. Comparing with the image watermarking, the audio watermarking have a few characteristics : 1. comparing with the visual media, audio frequency signal has less sampling points at every time interval. 2. owing to human audition systems, it is more sensitive than human vision systems, therefore, it is more trouble to realize the imperceptibility of audition compared to the vision systems. 3. to stick up to the cut attack, embedded watermark should keep synchronization. 4. because of the bigger memory payload of audio frequency signal, the initial audio frequency signal must be removed during the extract in order to protect the maneuverability of project

    數字水印技術是近幾年來學術界興起的一個前沿研究領域，提高演算法的魯棒性、安全性、實用性是數字水印的研究方向。本文提出的基於可視密碼術的小波域下量化系數的魯棒性音頻數字水印方案，其優點在於利用小波變換的多解析度特性在保證水印魯棒性的同時使水印對原始音頻信號的影響達到最小，採用量化系數的方法嵌入水印信息實現了盲水印，提高水印的工程應用價值。
  20. Based on the criterion of maximizing the total average signal to interference plus noise ratio ( sinr ), the optimal subchannel allocation strategy is obtained in theory when random signature sequences are used. for its implementation, an iterative algorithm is proposed, which is similar to the water filling principle. by using the proposed algorithm, we obtain significant improvement on the performance of the system, and the transmission quality can be guaranteed

    根據最大信號干擾加噪聲比原理，分析得出了隨機特徵碼條件下最優的子通道分配策略，並提出了一種類似於灌水原理的子通道分配演算法，該演算法能在保證各個用戶傳輸質量的前提下，使系統的整體性能接近最優。
分享友人
分享到 Line

分享到臉書