最大增量演算法 的英文怎麼說

中文拼音 [zuìdàzēngliángyǎnsuànfǎ]
最大增量演算法 英文
maximum augmented algorithm
  • 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
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 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. This paper develops a deterministic inventory model for perishable items with a mixture of back orders and lost sales under inflation and time discounting, where the backlogged demand rate is dependent on the negative inventory level during the stock out period. the main differences from the existing related models are that the present model takes the maximum present value of profit in a repeatable order cycle as the objective function and proposes a more practical constraint of maximum customer - waiting time to ensure a proper customer service level. then the existence and the uniqueness of the solution to relevant systems are examined and a solution algorithm is shown to find the optimal replenishment policy. at last, some numerical examples are presented to illustrate the applicatioh of the model

    本文建立了一種考慮通貨膨脹與時間價值的變質性物品的庫存模型，在模型中允許短缺發生且拖后的需求速率與在缺貨期間已經發生的缺貨量有關.和已有相關模型的主要區別在於本模型把一個可重復的訂貨周期內的最大平均利潤的凈現值作為目標函數，且增加了在缺貨期間最長顧客等待時間的限制，以確保庫存系統擁有較高的服務水平.然後討論了模型最優解的存在性與唯一性，並提供了尋求模型整體最優解的演算法.最後用實例說明了此模型在實際中的應用
  2. A stochastic chance - constrained programming model is put forward for incremental measures program of oilfield, which uses the most increasing output as objective and takes both cost and work quantity into account. at the same time, the process of its hy - brid intelligent algorithm is also provided

    以油田措施增產最大化為目標，兼顧成本、措施量等目標，建立了油田措施配置的隨機機會約束規劃模型，並給出了模型的混合智能演算法。
  3. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  4. In this paper, the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image, the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter, the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape, perimeter, area, diameter, complexlity, longest feret diameter, shortest feret diameter etc, are extracted. this technique is applied in measurement of pearl powder ' s particle size

    本文根據粒度圖像的特點，採用非線性對比度增強處理改善顆粒顯微圖像的對比度；對多種閾值分割方法進行比較，分析了它們的性能和用於粒度圖像的適用性，在此基礎上提出了一種基於梯度圖像的動態閾值分割方法；對獲取的顆粒二值圖像進行形態濾波和空洞填充，設計了識別演算法去除凝聚體；對重疊不太嚴重的粘結顆粒採用了兩種基於數學形態學的分割演算法；提取了周長、面積、粒徑、復雜度、最長feret徑、最短feret徑等大小和形狀特徵參數，對珍珠粉等粉體粒度進行了測量。
  5. 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。
  6. ( 3 ). the flattening arithmetic of an edfa was presented based on the inter - correlative function between the gain spectrum function of the edfa and that of the reserve transmission spectrum of the lpfg. for optimal matching between the two spectra, the flattening arithmetic calculates the variation of the resonant amplitude and wavelength of the lpfg

    Iii .提出了一種動態增益均衡的平坦演算法，這種演算法的本質就是利用摻鉺光纖放大器增益譜函數和新型長周期光纖光柵的透射譜反轉譜函數的相關性，給出新型長周期光纖光柵諧振峰幅度和位置的調節量，使改變后的新型長周期光纖光柵的反轉譜線能和edfa的增益輸出譜線進行最佳匹配。
  7. The first part of the paper is designing the testing project for grounding resistance and insulation resistance in a new way. using 16bits ad converter with programmable control amplifier replaced the way which used changing resistance to change measure range. lt is not only improved testing precision and develop the system expediently, but also reduced the area of the circuit boardwith the new way. in order to make the electric implement safety testing system have upstanding expansibility, the software and hardware of the system adopted the modularization design. adopted mcu atmegal28 as a master mcu which control mmi, realtime clock and communication with slaver mcu. atemga8 as the slaver mcu to realize testing function. so it is easy to add or reduce the testing project. the testing implement system has been developed successfully, and the comments for the system is that it has high precision, high expansibility and easy maintain. but considering the electric implement system should have intelligence and humanity abi lity. so this paper bring forward a scheme of electric equipment safety testing embedded system with speech control. after introduce the basic theory of speech recognition, the paper expatiate the characters of this system. the system is a noise conditon, not special people, small glossary, insulation word system. with these characters design the speech recognition as fellow. utilizing cross zero ratio and short energy to ensure jumping - off point and end point ; adopting mfcc as the character parameters of speech recognition ; the character parameters than be recognized by dtw. in order to ensure the credibility of this project, first realized by matlab in computer

    在介紹了語音識別的基本原理后，闡述了本系統的特點：本系統是一個噪聲環境下非特定人、小詞匯量、孤立詞的語音識別系統。根據本系統的這些特點設計了如下語音識別方案：利用過零率和短時能量相結合的方式確定語音端點；採用mel頻率倒譜系數（ mfcc ）作為語音識別的特徵參數；得到的特徵參數最後通過動態時間規整（ dtw ）的模式識別方法進行識別。為了確保本系統實現方案的可靠性，首先通過計算機利用matlab軟體來模擬，在演算法模擬實現后又進一步增加環境的復雜性：加上較大的環境噪聲、突發性的噪聲等，再通過修改參數、修改參考模板、兩級識別等各種提高語音識別精度的方法來提廣東工業大學工學碩士學位論文高識別率。
  8. Based on x - filtered lms algorithm and - filtered lms algorithm adaptive inverse control, we use a new variable step size lms algorithm. adding little computation, variable step size lms algorithm can result in fast convergence speed and low residual error simultaneously. the adaptive feedback control can counteract the beginning error of the system

    在原來的x -濾波lms演算法自適應逆控制和-濾波lms演算法自適應逆控制方法的基礎上，引入了新的變步長lms演算法，在計算量增加不多的前提下，能同時獲得較快的收斂速度和較小的穩態誤差；引入自適應的反饋補償控制克服了被控系統的直流零頻漂移，使控制系統在初開始工作階段快速收斂；還引入自適應擾動消除器，它能最大限度的消除擾動。
  9. To the question of the low computational efficiency, low computational speed, low stability and unsatisfactory calculation result of the traditional method to get the optimal thresholds, a new multi - dimension thresholding method based on dga ( dissipative genetic algorithm ) that has higher capability and speed of optimization is developed

    模擬結果表明採用耗散結構遺傳演算法進行優化可使圖像處理時間和計算量大大減少，而處理精度並沒有受到影響，且有效避免了遺傳演算法過早陷於局部最優的不足，增強了演算法的穩健性。
  10. Using the ipga and setting the terminal speed increment of the upper stage and the manufacture cost of cpkm as objective functions, the rocket motor are processed dual - objective optimization design that has six design parameters

    採用ipga演算法，以該運載火箭上面級末速度增量最大及cpkm發動機的製造成本最低作為目標函數，對該發動機進行了雙目標優化設計。
  11. Based on the svs characteristic analysis of image matrix, a visually recognizable binary image watermark is embedded into maximal singular value coefficient in block - based svd transform domain of the cover image. here we brought forward two primary schemes : one need original signal and the other is blind ( without the original cover ). experimental results show that our schemes can extract reliable copy of the hidden watermark from images that have been significantly degraded or altered through several common geometric distortions and signal processing operations

    本文基於圖像矩陣的svd奇異值分解特性分析，提出了在新的svd變換域中進行的數字水印演算法，水印信息嵌入到分塊變換的最大奇異值分量系數中，應用混沌變換加密和空域置換，改善了空域性能，安全性高；利用圖像分塊矩陣的奇異值分解穩定性好的特點，採用圖像內容自適應方法計算水印的嵌入強度，增強了演算法的穩健性；採用二值圖像作為有意義水印進行嵌入和檢測，水印在感知上是可視的。
  12. Through the adjustment and optimization of the parameter, the proposed algorithm can guarantee the qos of the real - time service and maximize the system capacity at the same time. in order to demonstrate the performance of the proposed algorithm, we compare our algorithm with m - lwdf

    通過參數的調整與優化，該演算法可以保證實時業務的qos要求，並且可以在減少實時業務分組時延和增大非實時業務吞吐量之間尋找最佳的平衡點。即盡可能的優化系統吞吐量。
  13. 4 in the post processing of correlation signal, in order to improved the recognition possibility to the distorted multi - object, we increase the amount of information of roi and choose the optimal numbers of neurons. so the roi could include enough feature but does not make the cpu burdened too much. on the other hand, a new method of selecting roi is realized, as a result, recognition possibility was increased and the number of samples for ann trainning decreased

    4 、在相關信號后處理中，為了增強人工神經網路（ ann ）對畸變多目標的判別能力，一方面增大了感興趣區域（ roi ）的信息量、優選了神經元數目，使roi既能充分包含相關峰的特徵，又不至於過分增加計算機的計算負擔；另一方面，提出並實現了一個從眾多的roi中選取最有效的少數roi的演算法，不僅大大提高了ann的識別效果，還使供ann訓練的采樣數目降低一個數量級。
  14. Among the standards which are established using mixed coding technology, g. 723. 1 has the highest efficiency, and widely used in many fields. but to gain the high quality and low baud rate, g. 723. 1 pays out the cost, such as the high complex of coding arithmetic, high delay and large storage space. each of them bings up the difficulties of its real time implementation

    G . 723 . 1演算法是目前制定的一系列採用混合編碼技術語音編碼標準中效率最高的，以其卓越的性能被廣泛應用在各種領域。但它的高質量和低碼率，是以高復雜度的編碼演算法、較高的延遲，以及較大的存儲空間換得的，這也大大增加了它的實時實現難度。
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