模型識別 的英文怎麼說

中文拼音 [móxíngzhìbié]
模型識別 英文
model recognition
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Under the strategic m & as, the merging company can identify significant features of the target company, therefore lessen the circumscription of search ; after completion of first selection of target company, the merging company should analyze its fundamental information carefully ; moreover, as open messages of listed - company, financial statements should be analyzed carefully too. though principal components analysis the merging company can evaluate the operating result of the target company so synthetically as to master its operating condition precisely

    在戰略性並購中，主並公司可以利用logistic模型識別出目標公司的顯著性特徵，從而縮小搜索范圍；完成目標公司的初選后，對其基本情況作詳實的分析，此外，財務報表作為上市公司對外公開的資料，也作了重點分析；利用主成份評價方法可對目標公司經營業績進行綜合評價，更能準確地掌握其經營狀況。
  2. The inverse analysis method based on model discerning and all these curve fitting methods are used to forecast settlement of xuzhou - suqian expressway after completing. the result from calculation and analyzed shows the thinking and the method in the paper are suitable, and it can be proved its rationality and feasibility in studying and forecasting settlement after construction of the embankment

    結合徐宿高速公路，進行了基於模型識別的路基沉降反演預測和各類曲線擬合法預測工后沉降的計算，通過計算驗證了模型識別反演預測思路和方法的適用性和改進指數法預測路基工后沉降的有效性和合理性。
  3. The principle and application of a discerning method of distribution model is presented, which could improve the accuracy concerning distribution model identification of product life

    摘要介紹了一種分佈模型識別方法的原理及具體應用，有利於提高產品壽命分佈模型識別的準確性。
  4. The text lays particular emphasis on the evaluation of the groundwater, involves the groundwater type, groundwater chemical characteristics, the amount of the water resource and the natural groundwater amount by using the method of numerical model after the calculation of the parameters, such as transmissivity, the coefficient of the flexible water release, with the data of the pumping test in the research zone

    採用visualmodflow地下水軟體進行數學模型的求解。在地下水流數學模型識別和驗證后，設計了兩種方案進行了地下水的預報。應用同位素分餾原理和質量守恆定律，確定不同含水層中地下水的成因及形成條件，建立本研究區地下水系統的水循環模式;採用模糊綜合評價方法對研究區內的水質進行了評價。
  5. Games provide an ideal setting to explore important elements of the design of cleverer machines, such as pattern recognition, learning and planning

    游戲提供了一個探究智能機器設計的重要元素的理想框架，例如模型識別，學習以及計劃編制。
  6. According to the study on the resolution of the equipment for coal ore dressing based on the transmission of bi - energy - rays for a long time, it was provided that the resolution could be improved by selecting the mathem atical model, discerning mode, and the width of high and low energy windows

    摘要通過較長時間的實驗研究，指出處理數據的數學模型，判斷結果的識別模式，採集信號通道窗孔的設定是設備儀表系統關繫到設備分選率的幾個主要方面，只要綜合考慮源強，儀器的溫度漂移特性，適當選擇數學模型、識別模式和窗口位置及寬度，可以大大增強判斷的準確性，提高分選率。
  7. To effectively identify the particulate and aggregative fluidization of fluidized bed, bp neural network model has been developed. the results show that bp neural network model is more efficient than the traditional method

    散式流化和聚式流化的判別模擬實驗表明， bp神經網路流型識別模型能夠準確快速地識別這兩類模型，識別的準確率高於傳統判別方法。
  8. Model identification for rheological load test curve and its application

    流變荷載試驗曲線的模型識別及其應用
  9. Although regarded as zero flow boundary in initial, the feature of the south, west and north boundaries should be determine by model calibration

    南、西、北邊界初擬為隔水邊界，是否存在部分地段的流量進出，需經模型識別而定。
  10. Simulation results indicate that this method is effective in mixing vibration targets identification

    模擬結果表明：新的混合模型識別系統在混疊振動目標識別中具有可行性。
  11. With ica to realize the blind separation from mixing vibration targets, an identification method based on givim is proposed through extracting lpc characteristic

    摘要提出一種基於獨立分量分析的混疊振動目標盲分離和混合高斯模型識別相結合的混合模型振動識別方法。
  12. The bp neural network is applied to the recognition of wear particles, and a bp neural network sorting system expected to recognize severe wear particle, cutting wear particle, normal wear particle and fatigue wear particle is designed and trained. 6. the function of the neural network ' s hidden layer is analyzed

    將神經網路應用於磨粒識別，設計磨粒分類器，在網路學習中運用改進的bp模型，識別嚴重滑動磨損磨粒、切削磨粒、正常磨損磨粒和疲勞點蝕磨粒，隨機選取50個樣本對分類器進行訓練。
  13. Then the experimental data was analyzed in time domain and frequency domain. thirdly the hilbert translation method was used to detect the nonlinearity of the system. at last the model of this kind of system was identified, the result show that the theory model is the same format as the experiment model

    然後利用振動臺做掃頻試驗，對試驗數據在時域與頻域進行分析處理，利用hilbert變換檢測系統的非線性，分析系統的非線性特點，在此基礎上進行系統的模型識別，並將實驗建立的模型與理論模型進行比較。
  14. As to the polyreference implemention of the least - squares complex frequency - domain estimator in mathematical separation technique of modes, this thesis builds a right matrix - fraction description model to estimate the system poles. then frequency point stabilization diagram is set up and analyzed to automatically determine natural frequencies, modal damping ratios and modal participation factors. finally mode shapes are identified based on the least squares theory

    對于模態數學分離技術的多參考點最小二乘復頻域識別技術，先建立右矩陣分式頻響模型，識別出系統極點，再通過建立和分析頻率點穩態圖，能自動的確定出結構的固有頻率、模態阻尼比和模態參與因子，最後根據最小二乘原理識別出模態振型向量。
  15. Identification of time - varying modal parameters of structure using output error time series model

    利用輸出誤差時間序列模型識別結構時變模態參數
  16. Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy. numerical simulation results show this model possesses many advantages, such as good self - adaptive ability, quick training and good recognition performance

    文中提出了採用歐氏距離判別法作為混合型多特徵異常模式的識別方法；提出了採用數據模糊化和指數加權滑動平均處理兩種提高模型識別精度的方法。
  17. This dissertation deals with the active vibration control strategy using the embedded piezoceramics as both actuators and sensors. with several ceramics embedded into the composite material structures during the manufacturing process without knowing the structural behavior in advance, this dissertation makes use of a self identification procedure to get the models of the system. apparently, the on - line self identification method enable people to update the models of system

    另外本文利用埋入復合材料結構中的壓電傳感器和驅動器對其進行模型識別而得出結構的動力學模型，再將該模型用於控制器的設計，這樣做的好處是如果結構本身或者約束、環境等發生變化后，可以很方便地對結構的模型重新進行在線識別，及時更新控制參數，避免控制失效，而且不需要事先知道結構的其它屬性。
  18. The analysis of time - series is important for economics statistics and forecasting. up till now, most documents adopt arima model to carry on modeling and predict to time - series analysis extensively. but arima model needs more than 50 historical statistics in model discerning, and it is difficult to collect data by quarter, month or year

    時間序列分析在經濟統計與預測中佔有重要地位，到目前為止，大多數文獻廣泛採用arima模型法對時間序列分析進行建模與預測，可是arima模型法在模型識別時需要50個以上歷史統計數據，這對按月、按季或按年記錄的經濟資料往往較難收集。
  19. ( 4 ) the thesis converts unrest model ( arima model ) of time series to the rest model ( arma model ) of time series. it sets up models acrossing some procedures, such as model identify, factor estimation, model check, ect, then predict the development short - term warp of road foundation. it predicts the time of the filling soil of the next grade utilizing the growth theory of the strength of the road foundation, assures that the working organization and design go smoothly during the filling work of road foundation and saves time and money

    （ 4 ）從路基實測變形數據出發，將時間序列非平穩性模型（ arima模型）轉化成時間序列平穩模型（ arma模型） ，通過模型識別、參數估計、模型驗證等步驟來建立模型，從而進行路基動態變形預測，利用路基變形的控制標準對路基下一級填土的時間進行預測，優化了施工組織設計，節省了時間和資金。
  20. We use gmdh to set up a forecasting model of chinese listed companies ’ financial crisis by using financial data. we compare the prognosticating effects of 3 models, which are set up according to the following 3 kinds of ways : the discriminate analysis, the logit analysis, and find that the gmdh is more effective way to transform data into knowledge

    將gmdh演算法應用於財務數據的挖掘，預測上市公司的財務危機，實證結果表明基於gmdh的上市公司財務預測模型，預測準確率優于判別分析和logit回歸分析，顯示出gmdh在模型識別和模型推廣能力上具有它獨特的優越性。
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