最新模型 的英文怎麼說

中文拼音 [zuìxīnmóxíng]
最新模型 英文
updated model
  • 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
  • 新 : Ⅰ形容詞1 （剛出現的或剛經驗到的） new; fresh; novel; up to date 2 （沒有用過的） unused; new 3 （...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. At last, using the bilinear model couvades the restoring - force character of the new type asphaltum, we seeing about the seism resist effect of the asphaltum pillow

    最後，以選取的模型為瀝青力學行為，以一個實際建築物為算例，計算和考察該新型材料作為基礎隔震墊的隔震性能好壞。
  2. Much of recent literature on emerging markets crisis highlights the limited financial development of these economies and the severe credit squeeze experienced by local firms during crises. from this structure, two opposing arguments are commonly made regarding optimal monetary policy. extrapolating from developed economy credit channel analysis, some advocate an expansionary monetary policy to offset the effect of the credit squeeze during downturns

    本文通過引入caballero和krishnamurthy2004年發展起來的「信用渠道和保險動機模型」來分析貨幣危機中貨幣政策抵補外部資本緊縮的機制，從而回答上述問題，並對新興市場國家採取正確的貨幣政策防範貨幣危機提出政策建議，最後總結治理貨幣危機的經驗。
  3. This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism

    摘要本文採用一種基於層次聚類的自適應學習策略，從系統反饋的信息流中，動態提取一類最優信息的質心更新用戶模型，有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲，並且能夠近似模仿人工反饋，完善自適應學習機制的智能性。
  4. Based on the above, a surrogate models are built for thermal conductibility performance of sandwich panel with " v - type " folded core in this paper, and they can be optimized by multi - subject. the numerical simulation function and optimization design method in condition of lightest weight are shown in this paper

    其次，用isight軟體重新設計了40組不同構型的試驗設計點，並以此為基礎對v型褶皺芯材夾層板的熱傳導性能構建了可用的代理模型，給出了數值模擬函數和最輕重量條件下的優化設計方法。
  5. This study : ( 1 ) provides the most detailed osteological and integumentary descriptions on liaoning deinonychosaurs ; ( 2 ) proposes an evolutionary model for feather evolution ; ( 3 ) analyzes the interrelationships of the coelurosauria ; ( 4 ) evaluates the effects of combining information from different parts of the body in reconstructing coelurosaurian evolution, and ( 5 ) discusses the evolutionary trend within the coelurosauria and particularly those features related to the origin of avian flight

    本研究： （ 1 ）提供了有關遼寧恐爪龍類最詳細的骨骼學信息； （ 2 ）提出了羽毛演化的一個新模型； （ 3 ）綜合地分析了虛骨龍類的系統關系； （ 4 ）分析身體不同部位的信息對復原系統發育的影響及虛骨龍類各個演化階段身體不同部位的相對演化程度； （ 5 ）討論了虛骨龍類的演化趨向，尤其是和飛行起源相關特徵的變化。
  6. To improve the accuracy of node trust evaluation in a distributed network, a trust model based on the experience of individuals is proposed, which establishes a new trust assessment system by introducing the experience factor and the comparative experience factor. the new evaluation system considers the differences between individuals and interactive histories between nodes, which solves the problem that nodes have inaccurate assessments due to the asymmetry of nodes to a certain extent. the algorithm analysis indicates that the new model uses different deviating values of tolerance evaluation for different individuals and uses different updating values embodying node individuation when updating feedback credibility of individuals, which evaluates the trust value more reasonably and more accurately. in addition, the proposed algorithm can be used in various trust models and has a good scalability

    為了提高分散式網路中各節點信任評價的準確度，提出了一種基於個體經驗的信任模型.該模型通過引入經驗因子和相對經驗因子的方法，建立了新的信任評價體系.這種新的信任評價體系考慮了個體節點的差異問題，在計算節點的信任值時考慮了節點間的交互歷史，這在一定程度上解決了由於節點的非對稱性而導致的信任評價不準確的問題.演算法分析表明:新模型能夠針對不同的個體節點，採用不同的最大容忍評價偏差，並且對個體節點的反饋可信度進行更新時，採用不同的更新值，體現了節點的個性化特徵，使信任評價更加準確合理.此外，所提出的新演算法能夠運用到多種信任模型中，具有很好的可擴展性
  7. Abstract : determined the power - time curves of the promoter bacteria of ganoderma lucidum for e. coli, using 2277 thermal activity moniter, a new experimental model of promoter bacteria growth were established. the growth rate constant and heat output at different concentration of ganoderma lucidum have been calculated. from - c and q - c curves the optimum concentration has also been established

    文摘:用熱活性檢測儀測定了天然藥物靈芝對大腸桿菌起促菌作用的熱功率-時間曲線，並根據曲線建立了細菌生長的新的實驗模型，按新模型計算了促菌作用下的生長速率常數，發熱量及最佳促菌濃度。
  8. According to the relation between them, this thesis has built an evaluating model for new products, manufacturing batch distribution model, optimum environmental cost model and quick quote model for order

    並根據這些成本之間的相互關系，建立新產品評價模型、生產批量分配模型、環境成本最優模型和訂單快速報價模型等。
  9. When dicussing reliability design and reliahbaiiy ensuring methods, a new reliability calculating model of petroleum logging tools is presented, reliability assurimg technologies should be taken in petroleum logging tools and their using approaches are presented and stated from electricity design and mechanical design, reliability system model of petroleum logging tool is set up according to the latest reliability theory, reliability indexes of petroleum logging tool and their acquiring ways are discussed, the reconmended reliability indexes ( mwture, nolwnm, mtbf, mttf ) of petroleum logging tool are presented : the mean working time under rated error ( mwture ) of the new tool is obtained through experiments. when studying data processing methods, the property of gamma - ray signal is stated and the type of it ' s measuring error is examined using statistical method, the basic theory of digital filtering and the basic situation of digital filtering methods are introduced and analyzed, the factors affecting digital filtering effect to gamma - ray signal and the effect of digital filtering to logging curve are analyzed, the evaluting criteria ( rvi, rmse, sfi ) of digital filtering effect are set up from two aspects, named as real value acquiring of steady section and the formation boundary checking and processing, the related filtering methods and examining methods are given out. the design methods of digital filter used to process gamma - ray signal are discussed, the mixed filtering scheme of natural gamma - ray log is presented, the realization ways are discussed. the selective filtering system and it ' s realization flow are given out through quantitive reseaching to part of digital filters, three new filtering sheme will be used to process gamma - ray signal in era2000 logging system

    在探討可靠性設計與可靠性保障技術時，提出了石油測井儀器的可靠性計算新模型，從電氣和機械兩個方面，提出並闡述了應採用的可靠性保障技術及其使用方法：根據最新可靠性理論，建立了石油測井儀器的可靠性系統模型，探討了石油測井儀器的可靠性指標及其獲取途徑，提出了推薦使用的石油測井儀器可靠性指標（ mwture ， nolwnm ， mtbf ， mttf ） ；通過試驗，得到了所設計儀器的穩定工作時間（ mwture ） 。在研究數據處理方法時，闡述了伽瑪信號的特徵，對測量誤差類型進行了統計檢驗；介紹了數字濾波的基本理論、數字濾波方法的概況，並進行了分析；對伽瑪信號數字濾波效果的影響因素及其對測井曲線的影響進行了基本分析；從獲取平穩段真值、地層邊界的檢測與處理兩個方面，建立了數字濾波效果的評價準則（ rvi ， rmse ， sfi ） ，給出了相應的數字濾波方法及效果評價方法；探討了自然伽瑪信號數字濾波器的設計方法，提出了適合自然伽瑪測井的混合濾波方案，探討了混合濾波方案的實現途徑；通過對部分數字濾波方法的定量研究，給出了靈活可選的數字濾波系統構成及實現流程；提出的三種濾波方案，將用於era2000成像測井系統，對自然伽瑪測井數據進行濾波處理。
  10. The wavelets neural network is the novel and efficient model of nonlinear signal processing developed in latest years. optimized wavelet networks adaptively according to the handled question could offer the scientific guide of model design and the systemic theoretic guarantee

    小波神經網路是近年發展起來的一種高效的非線性信號處理新模型，根據被處理問題自適應最優化小波神經網路的系統性能，能為神經網路廣泛的實際應用提供科學的模型設計指南和系統的理論保證。
  11. The latest model features alloy wheels and an electronic alarm

    最新模型的特點是擁有合金輪子和電子鬧鐘。
  12. The neighbour boy ran in for a minute to see bob ' s newest model rocket

    鄰居的男孩來小坐一會兒，參觀一下鮑伯的最新模型火箭。
  13. The latest modeling study, being published today in the journal geophysical research letters, was led by marika holland of the national center for atmospheric research in boulder, colo

    今天，刊登在《地球物理研究快報》上的最新模型研究是由科羅拉多州博爾德美國國家大氣研究中心的里卡霍蘭德領導的。
  14. In this paper, we also put forward a incremental learning algorithm for such a model. when the number of new samples attains or exceeds the valve, we use these samples to make a model, and merge this model with current model, thus get a new current model

    針對這個問題，論文提出了一種增量學習方法:當新樣本集的樣本數達到或超過閥值時，用新樣本集建立一個模型，與當前的模型合併，得到最新模型。
  15. Firstly, several methods are used to test if there is heteroscedasticity in the data. then some variance stabilizing transformation methods are applied to the data. finally, it is pointed out that the least squares fitting may be used to the transformed data

    先用幾種方法對數據是否具有異方差性進行檢驗，然後選擇適當的方法進行變換，最後指出，可以通過對新模型作最小二乘擬合等方法，觀察變換后的模型其數據的擬合程度，以確定模型的優劣。
  16. In the last chapter of the thesis, it is concluded that windows dna is the best model structure for programming under windows system, according to both theory research and practice. some thinking and prospect were offered also combined with the author " s own developing experience and latest techniques

    在論文末章，綜合理論研究與實踐應用，得出了windowsdna是在windows平臺下編程的最佳模型架構的結論，並且結合開發經驗和最新技術動態，提出了對未來應用程序體系結構的思考和展望。
  17. While it ' s always possible to estimate robust standard errors for ols estimates, if we know something about the specific form of the heteroskedasticity, we can transform the model into one that has homoskedastic errors ? called weighted least squares

    對ols估計穩健標準差總是可能辦到的，但是，如果我們知道一些關于異方差結構的信息，我們可以將原模型轉化為具有同方差的新模型，這稱為加權最小二乘法。
  18. In addition, we proposed the posterior union model ( pum ), which improves over the conditional union model by retaining the advantage of requiring no identity of the noisy components, and by additionally offering a means of optimally estimating the model order, therefore enhancing the capability of the model for dealing with nonstationary noise

    最終本文提出了語音增強結合pum模型的一種新的語音抗噪方法，並且基於這種新方法我們從高識別率和低成本較高識別率兩方面出發，構建了改進型ctranc結合pum新模型和改進型重復wiener濾波結合pum新模型。
  19. After every modular e - hmm is trained, the modular e - hmm parameters are combined into one e - hmm to represent one person. the advantage of the modular in training method is that the e - hmm parameters re - estimating process has good ability of adaptation : when new sample sets are added to the training sample, the information of the new sample sets can be conveniently combined into the e - hmm, and the computational work is reduced. besides, the modular training method provides an answer for the problem of choice initial e - hmm parameters

    本方法的優點是使e - hmm參數估計過程具有良好的靈活性和易擴充性：對新增加的訓練樣本，產生的最後模型既保留了已經訓練過的信息又能反映新增樣本的信息，同時減少了計算量，而且可以把訓練樣本和模型參數分開，在模型庫中只保留訓練好的模型參數值和有關的中間值，不必保留訓練樣本。
  20. A new judging model of fuzzy cluster optimal dividing

    模糊聚類最優劃分判定的一種新模型
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