標準預演算法 的英文怎麼說

中文拼音 [biāozhǔnyùyǎnsuànfǎ]
標準預演算法 英文
budget standard
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 準 : Ⅰ名詞1 （標準） standard; guideline; criterion; norm 2 （目標） aim; target Ⅱ動詞1 （依據; 依照）...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 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...
  • 標準 : （衡量事物的準則; 榜樣; 規范） standard; criterion; benchmark; pip; rule; ètalon （衡器）; merits
  • 預演 : preview; walk through
  1. Practical application results show that this adaptive algorithm can build better estimation models than the traditional modeling techniques, such as pls, mlr and bp neural network etc. meanwhile, the new cod model shows a good correlation between cod estimated values and cod analysis values

    實例分析表明，採用這種演算法建立的模型具有比用傳統技術（如pls ， mlr ， bp網路等）更好的預估效果，同時預估值與標準分析值之間也顯示了良好的相關性。
  2. Abstract : a cad tool based on a group of efficient algorithms to verify, design, and optimize power / ground networks for standard cell model is presented. nonlinear programming techniques, branch and bound algorithms and incomplete cholesky decomposition conjugate gradient method ( iccg ) are the three main parts of our work. users can choose nonlinear programming method or branch and bound algorithm to satisfy their different requirements of precision and speed. the experimental results prove that the algorithms can run very fast with lower wiring resources consumption. as a result, the cad tool based on these algorithms is able to cope with large - scale circuits

    文摘:介紹了一個基於標準單元布圖模式的電源線/地線網路的輔助設計集成工具.它應用了一系列高效的演算法，為用戶提供了電源線/地線網路的設計、優化和驗證的功能.非線性優化技術、分枝定界演算法和不完全喬萊斯基分解的預優共軛梯度法是該工作的三個主體部分.用戶可以選擇使用非線性規劃的方法或者幾種分枝定界方法來滿足他們對于精度和速度方面的不同需求.實驗結果表明，文中所提供的演算法可以在很快的運行速度下實現更低的布線資源佔用.因此，在這些有效演算法基礎上實現的輔助設計工具具有處理大規模電路的能力
  3. At first we improve the methods of iris image preprocessing, including an efficient arithmetic of evaluation iris images, an improving method of locating iris, calibrating iris image by the translation of coordinate and the circular shift of code, a eatimate of the background illumination by bicubic spline, and the image enhancement by the dual tree complex wavelet transform. next we designed the recognition arithmetic based on the location of the local maxima of the wavelet transform modulus. in the thesis lots of simulation are performed by means of matlab and visual c + +

    首先改進了虹膜預處理方法，實現了一種快速高效的虹膜質量評價演算法;設計了一種改進的兩步虹膜定位演算法，準確的定位了虹膜的內外邊界;利用坐標轉換和編碼的循環移位實現了對虹膜圖像的配準;利用雙三次樣條函數擬合虹膜圖像背景，去除了非均勻光照對虹膜識別的影響;使用二分樹復數小波方法增強了虹膜圖像的對比度;在識別演算法方面，本文設計了一種「基於小波模極值點位置的虹膜識別演算法」 。
  4. It ' s a more accurate method in determining the isotopic abundance of uranium. the paper describes the measurement principles that allow accurate measurements to be taken on samples of arbitrary size, shape, and measurement geometry - and of arbitrary physical and chemical composition - through the use of know nuclear decay data ( half - lives and branching intensities ). this method relies on internal gamma - ray peaks from the spectrum under analysis to self - calibrate the unknown spectrum for energy and peak shape

    本工作首次分析了pc fram軟體的演算法並使用高純鍺探測器探測歐共體低濃鈾標準樣品，使用pc fram軟體的預設參數並不能得到準確的富集度值，通過大量的實驗，本工作對鈾富集度測量中的關鍵問題進行了初步的研究並給出了本實驗室條件下準確分析鈾富集度的修正參數和條件。
  5. It has been proved in many examples that the bp algorithm based in the square sum of the relative error is better than the conventional bp method

    通過大量算例檢驗證實，在基於相對誤差平方和為檢驗標準前提下，利用所給演算法求得的擬合值或預報結果優于傳統的基於絕對誤差平方和作為目標函數的bp演算法所得結果。
  6. Through the experimental result of the various methods of pretreatment, the effects were illuminated ; appraisal of every kind pretreatment method was given ; the optimal scheme of enhanced fingerprints based on the fourier transform and direction information was determined, and the standard of the comparing pretreatment algorithm was proposed

    通過實驗說明了各種指紋預處理方法的效果；結合特徵點變化，給出了各種預處理方法的評價；確定了基於傅里葉變換結合濾波和方向信息的頻域濾波增強指紋的最佳方案，並提出了比較預處理演算法的標準。
  7. A modified svm model, which can predict peak recognition theory, was proposed in this paper. this model can increase the weight of peak error in the loss function of structural risk minimization, thus improve prediction accuracy of hourly water demand peak

    本文提出一種能夠進行峰值識別的改進svm演算法，該演算法在結構風險最小化準則的目標函數中加大峰值誤差的權重，從而提高時用水負荷峰值的預測精度。
  8. In the paper, chapter 1 gives a comprehensive introduction of digital image compressing including its recent status, technical standards, classification in the world. chapter 2 introduces briefly the thought and ii procedure of vector quantization, describes lgb algorithm and vector quantization based on sofm neural network. chapter 3 discusses predictable coding in lossy and lossless aspects, analyzes adaptive predictable coding based on bp neural network, introduces the evaluation of algorithm on neural network in image compression. chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related, analyzes the strategies of image coding in transformed domain. in chapter 5 images are decomposed and represented by wavelet transform, then discusses the characteristics and effects of wavelet functions in image compression, analyzes the wavelet coefficients after images are decomposed ; based on the theories and analyses in the prior chapters, the paper presents an image compression scheme and gives results. the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy, so that, it can require satisfactory results of image compression

    方案首先利用小波多分辨分析性質，對圖像進行小波分解，對分解后各子圖的小波系數進行了統計分析，針對各子圖的小波系數特點，對不同的子圖分別採用不同的壓縮方法，低頻子圖採用基於神經網路的自適應預測編碼，高頻子圖採用基於神經網路的矢量量化編碼，從而實現對圖像數據的壓縮處理。本論文第一章介紹了數字圖像壓縮處理的國內外當前的概況以及其技術標準和分類。在第二章，介紹了數字圖像的矢量量化技術的數學思想和過程，對lbg演算法和基於sofm神經網路的矢量量化進行了闡述、分析。
  9. Software system includes the main contents of this research, which is made up of the following modules : image sampling module is used to capture the images from the analog monitor according to the order from the remote operator, and transmit these images to the local image server in real - time. this step will prepare for the further processing of the images. sample class is programmed by c + + in order to

    文章總結了目前圖像處理技術和圖像編碼技術發展的現狀，針對離子探針樣品圖像傳輸、處理的特點，設計並實現了一個支持多種圖像處理方法的圖像處理類庫，在此基礎上根據聯合圖像專家組的jpeg2000標準的第一部分實現了基於小波變換的圖像壓縮演算法，並且成功應用於離子探針樣品圖像傳輸系統，達到預期的效果。
  10. The thesis summarizes the basic theories of price discrimination, expatiated on the multi - class differential pricing method and dynamic differential pricing theory ; concludes the factors that have impacts on tickets - price, analyses and classfies the factors ; brings forward a canonical method of market segmentation, introduces the process of market segmentation based on the model of gray relative level, discusses the idiographic measure of ticket - price control ; improves the academic achievements of former scholars, puts forward a model of multi - class dynamic differential pricing for the air passenger transport, which is based on the maximum revenue for the airline industry, and gives a approximate arithmetic of the model, then showes the application of the model and its feasibility on increasing airline industry ’ s revenue by 25 models

    在對民航定價的國內外研究現狀進行綜述的基礎上，從經濟學角度介紹差別定價的基本理論，闡述民航客運的多等級差別定價理論和動態差別定價理論;對民航票價的影響因素進行分類說明;作為多等級定價的基礎，提出市場細分的標準和方法，用灰色關聯度模型解決航空旅客市場細分問題，並提出票價控制的具體措施;引入一種旅客到達頻率預測的統計方法，以航空公司收益最大化為目標，建立基於多等級定價基礎上的動態差別定價模型，即多等級動態差別定價模型，給出模型的遞歸演算法，通過對動態差別定價模型的運行結果進行分析，建立模型的一種近似模型，並且用25個簡單算例說明模型的用法以及在提高航空公司收益方面的可行性。
  11. An on - line minimum - variance estimator was developed for thrust acceleration applied to orbit transfer using discrete - time radar measurements. the mass - flow - rate of propellant was selected as a state variant, which was estimated by employing an integral state model and ekf filter. the variation equations for measurement vector to mass - flow - rate have been established to linearize the discrete - time measurement equations. the algorithm has applied successfully to maneuver process in commanding satellite into geo - stationary orbit. the results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process

    飛行器軌道機動過程中，為跟蹤、定位機動目標和干預機動控制過程，需要統計處理離散的雷達觀測量實時估計推進發動機的推力，進而確定飛行器的瞬時軌道參數.本文所述演算法是該工程問題的探討和解決方案.文章建立了軌道機動過程中連續變質量運動模型和離散雷達量測模型，推進發動機的質量秒耗量作為表徵推力加速度的一個近似常量，應用擴展卡爾曼濾波對離散的雷達測量數據進行順序統計處理給出秒耗量的最小方差估計;文章詳細地推導了線性化量測模型的變分方程和觀測矩陣;模擬結果表明該演算法能快速、準確地估計推進發動機的質量秒耗量和向機動目標施加的實際推力
  12. This theses mostly studied a series of arithmetic of image preprocessing, image segmentation and image matching for image data, referring to advance image processing technique overseas at present. regarding the real - time image measurement system as the tool for debugging, it finds appropriate arithmetic to process real - time image and applies them to actual hardware equipment. the system has higher precision and more real - timely

    本論文參考當前國外先進的圖像處理技術，研究了圖像數據的預處理、圖像分割、圖像匹配等主要演算法，並以實時圖像跟蹤測量系統作為硬體調試平臺，比較出適合實時圖像處理的演算法並將其應用到實際的系統硬體設備中，使準確性更高，實時性更強，解決了實時圖像處理在4對比度下的目標探測問題。
  13. Secondly, we study the preprocessing part of system, a method of bidirectional multi - resolution motion estimation via radon transform is proposed, which can be used to estimate both pixel and subpixel motion vectors with robustly accurately and efficiently. bad frames elimination via the variances of lr frames in the sequence is preformed before the implementation of the super - resolution algorithm

    其次討論了超分辨預處理過程，提出了基於radon變換的雙方向多解析度運動估計方法，演算法可以穩健、精確的在較大范圍內實現亞象素運動估計;以圖像方差為標準，判斷序列圖像中個別幀損壞嚴重為「壞幀」 ，在超分辨重建之前預先去除。
  14. In order to resolve the contradiction between real - time and arithmetic complex in the television tracking capture system, the paper designs the real - time target track processing system which is constructed by the high performance dsp chipset tms320c6416 as the core digital processor, the huge reprogrammable logic chipset cpld as the system logic control and the field reprogrammable array fpga as the image preprocessing chipset to sampled video digital image

    摘要為解決電視捕獲跟蹤瞄準系統中系統的實時性與演算法復雜性之間的矛盾，設計了以高性能的dsp晶元tms320c6416為核心處理器，結合大規模可編程邏輯器件cpld進行邏輯控制以及現場可編程門陣列fpga對採集的視頻數字圖像做預處理的實時目標識別跟蹤處理平臺。
  15. Simulation results also show that the computational toad of this proposed algorithm is lower than standard svm and lssvm algorithms. finally, simulation results show that soft sensors based on this algorithm have much better predictive ability than those constructed by using traditional soft sensor modeling techniques, such as rbf neural network and bp neural network etc. 4

    實例分析表明，採用這種演算法建立的模型具有比傳統技術（如bp網路和rbf網路等）更好的預估效果，同時新演算法的實時性與標準svm和標準lssvm演算法相比也有一定改進。
  16. The dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed, which perfects the whole modifying process from data measuring, error separation, model establishment to real correction. after researching the discrete standard quantity system dynamic error separation technique, two error correction methods based on genetic algorithm and neural network mixed modeling technique are established. the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction ; the model ' s parameters and model ' s exercising method are also confirmed

    設計了雙標準量值（工件和離散標準量）互比測量的模型驗證方法，完善了從數據測量、誤差分離、模型建立到實際修正的整個修正過程；研究了離散標準量系統動態誤差分離技術，建立了基於遺傳進化演算法與神經網路混合建模技術的兩種誤差修正方法? ?離散標準量動態誤差直接（同步）修正方法和預報模型修正方法，並確定了模型結構參數和模型訓練方法；分析了預報模型的多次預報性質，並得出了多次預報與多步預報的等效關系，確定了測量系統的有效預報范圍以及模型參數對泛化誤差的影響；進行了模型的對比實驗驗證和被測工件動態誤差修正試驗，成功地實現了任意二面角和圓分度的實時誤差修正。
  17. Based on thorough analysing the factors which affect the seismic damage of single - story reinforced concrete industrial building, this paper introduces two kinds of methods which are applicable to prediction of seismic damage for single - story reinforced concrete industrial building. one is bp ( back propagation ) neural network method, which is based on the theory of artifical neural network. in this method, lm ( levenberg - marquardt ) optimization algorithm is applied to improve the performance of standard bp algorithm. the other is grey fixed weight cluster method, which is based on the theory of grey system

    本文在充分分析單層鋼筋混凝土柱工業廠房震害影響因素的基礎上，提出了兩種用於單層鋼筋混凝土柱工業廠房震害預測的新方法。一種是基於人工神經網路理論的bp神經網路方法。在bp神經網路方法中，採用改進的bp演算法（ bplm演算法）對網路進行訓練，有效地改善了標準bp演算法的不足之處。
  18. Further more, we improve the nearest neighbor approximation method by calculat e mixtures ordered by likelihood of being the best scoring mixture. the likelihood is calculating from previously processed data. this improved method can reduce recognition time by 15. 56 % compared with standard viterbi beam search algorithm

    本文對最近鄰快速估算方法進行改進，在搜索過程中根據已處理過的數據統計出各個高斯混合分量產生最高對數概率的概率，並依此預測隨后的計算中最有可能產生最高對數概率的高斯混合分量，優先計算更有可能產生最高對數概率的高斯混合分量，使標準viterbibeam搜索演算法的搜索速度提高了15 . 56 。
  19. Generally speaking, a coding algorithm must be low complexity and work at high speed. in this paper, the coding methods are studied to increase coding speed. firstly, a novel method based on temporal prediction to detect all - zero dct coefficients is proposed, which can greatly reduce the coding cost and maintain a good tradeoff between correct detecting ratio and false detecting ratio with little additional computation

    本文以h . 263壓縮編碼標準為基本框架，針對其中影響壓縮效率和速度的瓶頸展開研究，包括快速運動搜索演算法的研究、預判零方法的研究以及mmx技術在視頻編碼中的應用等，提出了一種基於時域預測的預判零新方法，在不影響重建視頻質量的條件下具有較高的判別效率，節約了大量dct變換和量化的時間，提高了編碼的速度，達到了實時性要求。
  20. Numerical result shows that the new method is more efficient in convergence than the standard lanczos algorithm ; the second algorithm generalizes the implicitly restarted arnoldi ( ira ) augmented by soreesen to the implicitly restarted lanczos algorithm, which improves the convergence rate of lanczos algorithm by making good use of the spectral information obtained from the previous process. the last algorithm utilizes deflation strategies to the second algorithm to forming invariant subspace for a, so that the stability can be kept in computing process

    數值試驗表明，該演算法比標準lanczos方法具有更好的收斂性；第二種演算法是將求解特徵值問題的隱式循環arnoldi方法（ ira ）應用於求解對稱不定線性方程組的lanczos演算法，充分利用lanczos演算法過程中的譜信息，確定預處理；第三種演算法是在第二種演算法的基礎上，運用收縮技巧，形成近似不變子空間，以提高收斂速度和數值穩定性。
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