預測性能 的英文怎麼說

中文拼音 [yùcèxìngnéng]
預測性能 英文
estimated performance
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 能 : 能名詞（姓氏） a surname
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  1. Using auc to evaluate predictive performance of classifiers

    評估分類器的預測性能
  2. The independent testing bodies, american society of sanitary engineering and canadian standards association, have validated the valve ' s primary and preventative functions

    獨立的檢測機構，美國衛生工程協會和加拿大標準協會，對于閥門的主要性能和預防性能進行檢測認證。
  3. Microarchitecture, research triangle park, north carolina, dec. 1997, pp. 281 - 290. 9 rychlik b, faitl j, krug b, shen j p. efficacy and performance impact of value prediction. in proc

    文中對影響值預測性能的各種因素，如預測失敗開銷指令窗口大小處理器發射寬度及分支預測機制等進行了詳細的測試和分析。
  4. After giving all - sided analysis and evaluation on kinds of memory allocation pattern, it designs rtps _ cached _ allocator, a pooled memory allocator which can decrease the overhead resulted from the general dynamic heap allocation, in order to improve the dynamic performance of a system and meet the de mand of qos predictability. a memory pool management framework, mpmf, is also shown

    在全面分析總結各種內存分配模式及其優缺點與適用環境的基礎上，針對實時響應系統對動態性能和qos可預測性的需求，設計實現了一個能夠有效減少內存分配開銷的池式分配器rtpsmachemllocator ，提出了一個內存池管理框架mpmf 。
  5. Aiming at the characteristic of the man - hour rationing in the enterprise wide that emphasizes forecasting and using of experience and knowledge, this thesis brought forward and adopts a hybrid reasoning model composed by cbr and kbr to make the system more intelligent and efficient

    針對企業級工時定額具有很強的預測性、經驗性的特點，為實現系統的智能性、高效性，提出採用以cbr為主體， kbr為輔助的混合推理模式；此模式為本文的創新點之一。
  6. In this paper we adopt this new chain to construct chained dls - icbp network and greatly boost the performance of multi - steps time series prediction

    實驗證實基於dls的新型鏈結構網路較傳統的dls - icbp和icbp鏈結構網路的多步預測性能有較大提高。
  7. But during predicting, both cbp and icbp neglected structural changes and correlation in time series themselves. they did not consider how the distance from the observation point to the current predicting point would influence the resulting performance

    但在預測時cbp和icbp都忽視了時間序列本身的結構性變化及相關性，即沒有考慮觀察點與預測點的遠近對預測性能的影響。
  8. Three propositions are proposed based the vector base network. cognition of human being and vector base cognition model are compared, the corresponding connection is created. 7 ) the application for rubber mixing process is given : abnormal modeling samples first removed, svm is applied to build the discharge model to establish the rubber discharge condition, and long term practical production validated the discharge modeling method ; adopting dynamic rkrls and rsvm, mooney time serials is used to model and predict, which shows better prediction ability than rls ; using v

    7 ）將本文演算法在橡膠工業的密煉過程得到實際的應用:在排除異常樣本點的情況下，利用5vm的工業特性，進行排膠點的建模，獲得好的應用效果:利用動態的rkrls和rsvm演算法，通過對橡膠棍煉質量的門尼指標進行建模和預測分析，表明演算法具有較好的跟蹤預測性能;利用矢量基學習網路對密煉過程的門尼進行辨識建模和預報，獲得了較好的效果，從而實現了更好的門尼波動的控制。
  9. While present parallel programs mostly machine dependent, so the transportability of parallel programs are very poor and it is very difficult to predict the program performance

    而現有的并行程序絕大多數是依賴機器的，因此并行程序的可移植性差且難于預測性能。
  10. The global mlp neural network with 3 layers and the local linear polynomial map with first order are used to model the reverberation sequence

    本文分別用三層mlp神經網路和線性一階映射多項式對混響進行全局非線性建模和局部線性建模及預測性能分析。
  11. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
  12. In chapter 4, we present a method of neural network inverse dynamic control under the mutli - step predictive index function. the direct multi - step predictive approach and the recursive multi - step predictive method are adopted

    第四章：提出對被控對象進行直接多步預測，利用多步預測性能指標函數對系統實現基於神經網路的逆控制。
  13. 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。
  14. The fact that the local dynamical model has superior performance of predicting the reverberation sequence to the classical random ar model also reveals that the reverberation is more suitable for the deterministic model

    比較經典的隨機ar模型和局部動力學線性模型的預測性能，發現後者平均相對誤差小，可預測長度長。這個事實在一定程度上（至少從預測的角度看）說明混響過程更適合於確定性建模。
  15. It is in better agreement with experimental data than existing models

    結果表明本文的轉換模型預測性能較好。
  16. In the experiment the validity of the method is proved and impact on the prediction performance about some key parameters is analyzed

    實驗驗證了該方法的有效性，並考察了一些關鍵參數對于預測性能的影響。
  17. This control method addopted the idea of prediction control, which can improve the prediction capability of the system by regulating gain parameter, reset parameter and stroke parameter

    這種控制方式應用了預測控制的思想，通過增益系數、復位系數、行程系數的調整來改善控制系統的預測性能。
  18. In the research of the protein modification of n - acetylation, by properly using prior knowledge and upgrading the pattern extraction method, improvement in performance of the svm model was achieved

    在對蛋白質的乙酰化修飾的預測過程中，通過合理地利用先驗信息，改進模式提取方法，能夠顯著地提高支持向量機模型的預測性能。
  19. The generalized nonlinear predictive controller based on neural network is put forward by combining the theory of predictive control with generalized nonlinear pid method ; subsequently, the neural network inverse dynamic control method is introduced into predictive control

    提出了基於神經網路的廣義非線性預測控制器；之後考慮將神經網路逆動態控制方法引入到預測控制中，提出了基於多步預測性能指標函數的神經網路逆動態控制方法。
  20. It is expected to have lighter, more strength, safer and cost reduction advantages in the computer aided engineering that is also the purpose of application in the products design

    可以預測性能，達成更好、更強、更輕、更安全、低成本的優點，以期能縮短研發方面的時間及減少研發過程所花費之成本，此乃將電腦輔助工程應用於產品設計的目的。
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