降維法 的英文怎麼說

中文拼音 [jiàngwéifǎ]
降維法 英文
method of descent
  • 降 : 降動詞1. （投降） surrender; capitulate 2. （降伏） subdue; vanquish; tame
  • 維 : Ⅰ動詞1 （連接） tie up; hold together; link 2 （保持; 保全） maintain; safeguard; preserve; keep ...
  • 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. Meanwhile adopting two - step process of viscosity - decreasing method, i. e. adding hydrogen peroxide during the process of basification and abstersion to decrease the viscosity of alkaline cellulose, as a result the sodium carboxymethyl cellulose with ultra low viscosity was obtained

    同時，採用二步降粘法，在堿化及洗滌過程中加入過氧化氫，以降低纖維素鈉的粘度，制得超低粘度的梭甲基纖維素鈉。
  2. Method of reducing dimensions for laplace equation ' s conformal transformation

    方程的保角變換降維法
  3. The work of the paper mainly includes : ( 1 ) present a model for measuring the similarity between two hydrological time series. in this model, we adopt an intuitive dimensionality reduction technique for hydrological time series which is called piecewise average approximation ( paa )

    主要工作包括： （ 1 ）提出了適合水文時間序列數據特點的相似性模型，採用簡單直觀的等時間間隔序列分段平均值技術（ paa ）作為水文時間序列降維方法。
  4. A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given

    使用分形方法提取目標的特徵，在知識指導下，提出了一種基於目標特徵模型的降維的形態學分形維數計算方法，對傳統分形方法進行了改進，從理論上推證了演算法的合理性，並對演算法進行了模擬分析；針對傳統hough變換無法獲得線段端點和長度信息的局限性，提出了一種基於目標特徵先驗知識的hough變換融合策略，通過引入目標先驗知識，可以有效地獲得直線信息；對信息多而復雜的機場目標採用基於知識的目標識別方法，使用置信度模摘要型實現不確定推理，對目標進行識別判斷，將知識貫穿于整個識別過程中，對目標進行了有效地識別。
  5. Nonlinear reductive dimension approximate algorithm for 0 - 1 knapsack problem

    1背包問題的非線性降維近似演算法
  6. The method of bispectrum can extract characteristic of seismic series bispectrum and detect fracture zones by decreasing dimensions

    雙譜法通過採用模式識別的方法對地震序列的雙譜提取特徵，通過降維實現裂縫發育帶的檢測。
  7. The paper abstracts out the palmprint mainline characteristic owing to palmprint image gradation by the gray value characteristic property method, defining the online palmprint characteristic space with the form of the polar coordinate and compressing the dimension, at last we use the neural network to accomplish the design of identification authentication system with the on - line palmprint as the mating algorithm. based on this, a fast and reliable system of identification authentication can be built

    採用基於掌紋圖像灰度特性的方法提取出掌紋的主線特徵，以極坐標的形式定義在線掌紋的特徵空間並降維處理，最後用神經網路作為匹配演算法完成在線掌紋身份驗證系統的設計，以此為基礎建立了快速、可靠的新型身份認證系統。
  8. Continuous and categorical versions of the generalized association plot, statistical learning methods and nonlinear dimension reduction techniques, and latent class models will be integrated into a platform by combining clever computational algorithms and flexible statistical models

    並將聯合應用精巧的計演算法則與靈活的統計模型，來整合連續型與類別型資料的兩種廣義相關圖、機器統計學習與非線性降維法、以及潛在類別模型等於同一平臺。
  9. On the basis of test results, the effects of operation parameters such as material thickness, heating temperature and pressure of drying chamber on vacuum freeze drying are discussed. aiming at decreasing drying time and reducing energy consumption, these parameters are optimized and optimization results agree well with actual results

    在三因素二次正交回歸試驗的結果分析的基礎上，利用降維分析方法探討了凍干厚度、加熱板溫度和系統的真空度對乾燥時間和乾燥能耗的影響，並對混合加熱條件下單位水分能耗和凍干生產率進行了優化分析。
  10. In the beginning of chapter 2 the principles of the fixed reduced - rank methods and the constant false alarm rate ( cfar ) detection are described

    本文的第2章首先介紹固定降維方法和恆虛警檢測的基本原理。
  11. After reduction, the effective numerical method is adopted to explore the response and stability information of the system, and the state of motion and type of the bifurcation are analyzed by floquet theory

    降維之後，採用有效的數值計算方法分析系統的動響應和穩定性，利用floquet理論分析其運動狀態和分岔類型。
  12. Descending dimension algorithm for multi - objective programming with linear equality constraints

    線性等式約束多目標規劃的一個降維演算法
  13. Abstract : the design problem of reduced - order state observer for a class of multi - input multi - output ( mimo ) nonlinear time - varying systems is studied in this paper. a new design method of nonlinear reduced - order state observer is proposed, and the exponential convergence is proved for the proposed state observer. the observer has the characteristics of that the speed of convergence is adjustable. finally, an example is given to show that this approach is effective

    文摘:研究一類多輸入多輸出（ mimo ）非線性時變系統的降維狀態觀測器設計問題.提出一種非線性降維狀態觀測器設計方案，並從理論上證明了狀態觀測誤差的指數收斂性.其中設計的降維狀態觀測器具有收斂速度可調的特性.最後給出了數值算例，模擬結果表明了本文方法的有效性
  14. There are two kinds of dimensionality reduction methods, band selection and feature extraction

    降維方法主要有波段選擇和特徵提取兩大類方法。
  15. Principal component analysis ( pca ), segmented pincipal components transform ( spct ), band selection based on genetic algorithm ( ga ) and high order component are introduced here, which are all effective in for dimensionality reduction

    本文介紹了主分量分析、分段主成分變換、基於遺傳演算法和高階矩的波段選擇四種降維方法。
  16. In the basis of present technology, we provide our method. with our method, we first extract several low visual feature of the image, such as color, texture etc, and then we fuze the feature into a high dimensional vector ; sencond, we analyze the vector with pca method, which reduce the dimension of the vector ; and last we use the vector to classify the image

    該方法的基本思路描述如下：首先，提取圖像的多種視覺特徵（如：顏色、紋理等） ，經融合得到一個高維矢量描述；然後，對該高維矢量描述作pca （ principalcomponentsanalysis ）分析，以獲取其中的主元，降低維數；最後，以降維后的矢量描述為基礎，用於圖片的分類系統。
  17. The research on reduced feature dimension based on hownet similarity computing

    基於知網語義相似度計算的特徵降維方法研究
  18. Analyses of results are also given, comparative experiments show that the beat approach in this paper is better than conventional hierarchy clustering technique, and much better than multivariate statistical analyses such as principle component analyses on dimension reduction based feature encoding

    另外比較實驗結果表明文中的最好方法其系統性能好於目前廣泛採用的分層聚類技術，並遠好於多元統計分析技術，例如主成分分析的特徵降維編碼。
  19. At the first step of the algorithm, based on the theory of principal component analysis, a modified principal component analysis ( mpca ) approach is adopted to reduce the dimension of data horizontally, then after comparing existing clustering algorithms, an immune clustering algorithm is put forward based on similarity measurement of principle component core for vertical reduction by using related mechanism of clone selection as well as immune network self - stabilization in natural organic immune system for reference

    在進行樣本參量的降維處理時，基於主元分析的思想，採用一種改進的主元分析（ mpca ）方法用於橫向數據壓縮，在壓縮樣本數量時，綜述和比較了現有的各種聚類演算法，借鑒生物體自然免疫系統中克隆選擇以及免疫網路自穩定等有關機理，提出了基於主元核相似度的免疫聚類演算法用於縱向數據壓縮。
  20. The robotics control system based on lowering dimension interpolation algorithm

    基於降維插補演算法的機器人控制系統
分享友人
分享到 Line

分享到臉書