performance prediction method 中文意思是什麼

performance prediction method 解釋
性能預測法
  • performance : n. 1. 執行，實行，履行；完成；實現；償還。2. 行為，動作，行動；工作。3. 性能；特性。4. 功績；成績。5. 演奏；彈奏；演出；（馴獸等的）表演；把戲。6. 【物理學】演績。
  • prediction : n. 1. 預言，預告。2. 被預言的事物。3. 【氣象學】預測，預報。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. This paper introduced a much more precise sampling method using cpu hardware performance counters ( chpc ) to provide cpu data like instruction cycles, cache misses, branch prediction, and so on, and given detail scene of software status

    摘要引入了基於cpu硬體性能計數器的性能數據採集和分析方法，從軟體運行時刻的細粒度參數入手分析軟體運行時刻的性能表現，從而更為準確地反映系統實際的動態運行狀態。
  2. Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation

    本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上，綜合運用概率理論、結構可靠性理論、混凝土結構理論、神經網路理論、結構動力學理論等基本理論和方法，結合實際檢測數據，按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究，完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。
  3. Thirdly, the conclusions of the two aspect applications are given as follows : the exploration of the application of the evaporation duct prediction to the flux relationship research and evaporation duct predicting shows that based on this predicting method and with microwave refractometer, as sensor, ( 1 ) the dimensionless gradient function of temperature, humidity and refractivity in the flux relationships can be determined with higher precision, ( 2 ) the limitations of conventional observations on the predicting accuracy for evaporation duct can be avoided and the precise prediction for evaporation duct can be obtained with the accurate measurement of refractivity profile within a few meters. the radar performance under given evaporation

    三、對兩個應用問題的討論表明：基於本文發展的蒸發波導預測理論，使用微波折射率儀為傳感器： （ 1 ）開展通量關系研究時，可以用於邊界層溫度、濕度和折射率無量綱梯度函數的精確測定和得到蒸發波導環境預測所需的偽折射率參數化函數關系； （ 2 ）預測蒸蒸發波導環境特性和傳播特性及其應用研究發波導環境時可以避免使用傳統氣海界面要素測量中存在的局限，並用折射率音d面不太高的精確測量結果精確預測蒸發波導環境。
  4. The article introduces the basic concepts and common methods of fuzzy mathematics, initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits, classification of rock drillability, and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory

    初步探討了以下幾方面的應用： 1 ）用隸屬度劃分金剛石鉆進「打滑」地層； 2 ）綜合評判在金剛石鉆頭評價、巖石可鉆性分級及鉆探造漿粘土評價中的應用； 3 ）用模糊聚類分析進行「硬巖石」分類； 4 ）用模糊數進行鉆孔竣工時間預估及地下水質評價； 5 ）模糊模式識別在新礦區類型識別和最佳水源地選擇中的應用； 6 ）模糊相似選擇及其改進演算法在金剛石鉆頭選擇和油田開發方案評價中的應用； 7 ）模糊控制在泥漿性能和礦坑涌水量預測中的應用； 8 ）優化理論模型在金剛石鉆頭和深基坑支護方案綜合評價中的應用。
  5. Prediction of hydrodynamic performance of marine propellers by surface panel method

    用面元法預報船舶螺旋槳的水動力性能
  6. 2 to meet the need of aerodynamic configuration optimization design in supersonic state, different supersonic drag prediction methods have been compared and the supersonic performance calculation method suitable for optimization design system has been obtained

    為適應超音速氣動外形優化設計要求，對不同的超音速阻力計算方法進行了比較計算和分析，建立了與優化設計相適應的超音速氣動特性計算方法。
  7. Two miso ( multi input single output ) four - layer recipe hybrid fuzzy neural networks were trained to learning the short - term reversible fouling growing trend and long - term irreversible fouling growing trend respectively. the combination of two network outputs provides the prediction for overall fouling. the results of experiments show the method has a better performance on a wort evaporator fouling prediction than the experiential formula

    把間歇換熱設備的周期性結垢分解為可逆垢和不可逆垢，通過兩個多入單出配方混合模糊神經網路分別學習結垢的短周期可逆垢增長趨勢和長周期不可逆垢增長趨勢，並由兩者的組合得到更為精確的污垢熱阻預測值。
  8. Water drive type curve is a key method for prediction of oilfield waterflooding performance

    摘要水驅特徵曲線是注水開發油田動態預測的主要方法。
  9. The same conclusion as derived from the original pda under approximate condition is concluded this way without any approximations. the second method is the instant - state performance prediction based on the hyca method. this method not only gives the off - line recursive error variance relation, but also gets a series of performance measurement such as track life

    然後應用兩種方法對其進行性能估計和預測，一是基於riccati方程的穩態性能估計，其結果與pda演算法近似條件下得出的結論相同；二是基於hyca方法的瞬態性能預測，不僅給出了誤差方差的離線遞推關系，而且得到了航跡壽命等一系列性能指標的估計值。
  10. Abstract : in this paper a new adaptive neural network controller is presented for a class of continuous - time nonlinear time delay systems subject to modeling uncertainty. the neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems. an adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions. stability of the closed - loop system is proved by the lyapunov method. the effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor

    文摘:針對模型不確定性的連續時間時滯系統，提出了一種新的神經網路自適應控制.系統的辨識模型是由神經網路和系統的已知信息組合構成，在此基礎上，建立時滯系統的預測模型.基於神經網路預測模型的自適應控制器能夠實現期望軌線的跟蹤，理論上證明了閉環系統的穩定性.連續攪拌釜式反應器模擬結果表明了該控制方案的有效性
  11. So, it is definitely different from other amb - ab. three aspects have been studied theoretically in this paper which were based on an analysis of a compliant multleaf journal self - acting air bearing, which are as follows : ( 1 ) a set of theoretical analysis method which include the development of. physical and mathematical model, the solution of governing equations and the prediction of static and dynamic performance of the foil gas bearing is proposed. the above theoretical analysis method provides a possibility for numerical analysis

    本文在分析懸臂型彈性箔片徑向動壓氣體軸承工作原理的基礎上，做了以下幾個方面的工作： （ 1 ）建立了懸臂型彈性箔片徑向動壓氣體軸承的物理和數學模型，確立並求解了控制方程，得到了靜、動態性能的穩定性分析方法，為數值分析懸臂型彈性箔片徑向動壓氣體軸承奠定了基礎。
  12. Nonlinear dynamic modelling of sensors is an important aspect in the field of instrument technique. the recursive neural network is proposed for nonlinear dynamic modelling of sensors, as its architecture is determined only by the number of nodes in the input, hidden and output layers. with the feedback behavior, the recursive neural network can catch up with the dynamic response of the system. the recursive neural network which involves dynamic elements and feedback connections has important capabilities that are not found in feedforward networks, such as the ability to store information for later use and higher predicting precision. a recursive prediction error algorithm which converges fast is applied to training the recursive neural network. experimental results show that the performance of the recursive neural network model conforms to the sensor to be modeled, and the method is not only effective but of high precision

    根據動態校準實驗結果建立傳感器的動態數學模型，以研究傳感器的動態性能，是動態測試的一個重要內容.討論了遞歸神經網路模型在傳感器動態建模中的應用，給出了遞歸神經網路模型的結構及相應的訓練演算法.由於其反饋特徵，使得遞歸神經網路模型能獲取系統的動態響應.該方法特別適用於傳感器非線性動態建模，而且避免了傳感器模型階次的選擇的困難.試驗結果表明，應用遞歸神經網路對傳感器進行動態建模是一種行之有效的方法
  13. 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。
  14. A simulation method is proposed to predict the motion artifacts of plasma display panels ( pdps ). the method simulates the behavior of the human vision system when perceiving moving objects. the simulation is based on the measured temporal light properties of the display for each gray level and each phosphor. both the effect of subfield arrangement and phosphor decay are involved. a novel algorithm is proposed to improve the calculation speed. the simulation model manages to predict the appearance of the motion image perceived by a human with a still image. the results are validated by a set of perceptual evaluation experiments. this rapid and accurate prediction of motion artifacts enables objective characterization of the pdp performance in this aspect

    針對目前等離子顯示屏普遍存在的運動偽像問題，提出了一種新穎的模擬計算方法，該方法實現了對等離子體顯示屏運動偽像的準確、快速估計.該方法通過測量等離子顯示屏不同顏色不同灰度下光信號隨時間的變化情況，模擬人眼對運動圖像的視覺感知行為，模擬計算出任意圖像以一定速度運動下的視覺感知效果.新演算法不但加入了等離子顯示屏熒光粉的延遲效應的影響，而且提高了模擬計算速度.所得模擬結果與實際主觀視覺感知實驗相符.這種快速準確的估計使對等離子顯示器件運動偽像的客觀評價成為可能
  15. Abstract : a simulation method is proposed to predict the motion artifacts of plasma display panels ( pdps ). the method simulates the behavior of the human vision system when perceiving moving objects. the simulation is based on the measured temporal light properties of the display for each gray level and each phosphor. both the effect of subfield arrangement and phosphor decay are involved. a novel algorithm is proposed to improve the calculation speed. the simulation model manages to predict the appearance of the motion image perceived by a human with a still image. the results are validated by a set of perceptual evaluation experiments. this rapid and accurate prediction of motion artifacts enables objective characterization of the pdp performance in this aspect

    文摘:針對目前等離子顯示屏普遍存在的運動偽像問題，提出了一種新穎的模擬計算方法，該方法實現了對等離子體顯示屏運動偽像的準確、快速估計.該方法通過測量等離子顯示屏不同顏色不同灰度下光信號隨時間的變化情況，模擬人眼對運動圖像的視覺感知行為，模擬計算出任意圖像以一定速度運動下的視覺感知效果.新演算法不但加入了等離子顯示屏熒光粉的延遲效應的影響，而且提高了模擬計算速度.所得模擬結果與實際主觀視覺感知實驗相符.這種快速準確的估計使對等離子顯示器件運動偽像的客觀評價成為可能
  16. The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model. the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine, and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ). it is indicated that the grnn is more appropriate for prediction of time series than the bpnn, and the performance of grnn is qualified even with sparse sample data

    研究了基於廣義回歸神經網路（ grnn ）的大型旋轉機械振動狀態預測，提出了應用bic準則確定grnn預測模型輸入神經元數目的方法，將grnn用於大型機組振動峰?峰值時間序列的預測，與採用誤差反向傳播學習演算法的三層前饋感知器網路（ bpnn ）的預測結果對比表明， grnn的預測性能優于bpnn ，而且，即使樣本數據稀少，也能獲得滿意的預測結果。
  17. Gas well productivity is important is an important method for determination of ripen flow potential and working system, prediction of prediction performance and study of related gas reservoir engineering

    摘要氣井產能評價是確定無阻流量和工作制度、預測生產動態及其它氣藏工程研究的重要手段。
  18. By the second method, neural network breakout prediction model are becoming popular and replacing previous logical decision ones in the world. this is due to the drawbacks of the logical decision breakout prediction, such as lack of robustness and error tolerability. in contrast to that, neural network has good self - learning ability, robustness, and can constantly increase the system performance with the increase of running time

    在第二條途徑上，用神經網路漏鋼預報系統替代早期的邏輯判斷預報系統在國際上已成為一種趨勢，這是因為邏輯判斷系統存在自身無法克服的缺點，如容錯性差，缺乏魯棒性等，而神經元網路具有較好的自適應性能力、魯棒性和容錯能力，並隨著使用時間的延長，不斷提高系統的性能。
  19. To overcome the bad effect of long delays, a prediction and compensation method based on an adaptive filter, which uses lms algorithm and structure of transversal filter is provided. performance of convergence of the algorithm is analyzed

    為提高跟蹤精度，克服延遲的影響，提出了基於橫向濾波器結構和lms演算法的延遲自適應預測補償方法，並分析了演算法的收斂性。
  20. This paper adopts the theoretical method to research the problem on the performance prediction and the design of the propeller operating in ship wake systematically

    本文採用理論方法系統地研究了非均勻流場中螺旋槳性能預報和理論設計問題。
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