support vector machine 中文意思是什麼

support vector machine 解釋
支持向量機
  • support : vt 1 支承，支撐；支持；支援，維護。2 援助；擁護，贊助。3 扶養，贍養（家屬）；資助，維持。4 鼓舞，...
  • vector : n 1 【數學】向量，矢量，動徑。2 【航空】飛機航線；航向指示。3 【天文學】幅，矢徑。4 【生物學】帶...
  • machine : n 1 機（器），機械；機關，機構。2 印刷機器；縫紉機；打字機；汽車；自行車；三輪車；飛機；〈美俚〉...
  1. The support vector machine method for analogizing and forecasting groundwater data

    地下水觀測數據擬合與預測的支持向量機方法
  2. An arrear predicting model based on support vector machine in telecom

    分類器的電信欠費預測模型
  3. Study of telecom customer arrear evaluation based support vector machine

    基於免疫進化支持向量機的年用電量預測
  4. To overcome the disadvantages of the linear calibration methods such as mlr and pls, least - squares support vector machine ( ls - svm ) is introduced to nir quantitative calibration in this thesis. for a set of diesel cetane number ( cn ) samples, the ls - svm model obtains the best performance in the cn prediction, compared with the mlr and pls model

    為克服mlr與pls等線性校正方法的局限性，本文將最小二乘支持向量機（ ls - svm ）演算法用於近紅外光譜的定量校正，並以一批柴油十六烷值樣品數據為例對以上方法進行了比較。
  5. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  6. For this problem, a separating hyperplane is designed with the principle of maximizing the distance between two class centers, and a novel support vector machine, called maximal class - center margin support vector machine ( mccm - svm ) is designed

    為了解決這個問題，本文以兩個類中心距離最大為準則建立分類超平面，構造一個新的支持向量機，稱作類中心最大間隔支持向量機。
  7. Predictive coding based on support vector machine

    基於支持向量機的圖像預測編碼演算法
  8. In order to improve adaptability and robustness of algorithms, we present another toa / tdoa data fusion algorithm based on support vector machine regression for radiolocation. then we test the capability of location estimation algorithm in distinct channel environments, the results suggest that the location precision within 100m is accessed with 67 % probability by this method

    為了提高定位演算法的健壯性和自適應能力，論文提出了一種基於支持向量回歸（ svr ）對toa / tdoa進行數據融合的方法，並對演算法在不同的通道環境下的定位性能進行了模擬。
  9. Forecasting calorific value of coal with the method of least - squares support vector machine

    應用最小二乘支持向量機預測煤的發熱量
  10. Support vector machine for curve approximation

    一種基於支持向量機的曲線逼近方法
  11. The support vector machine composed by least sequence and directed acyclic graph algorithm has been used in paper currency identification, shows the advantages of capability in dealing with scared samples, nonlinear and high dimensions

    將次序最小優化改進演算法和有向無環圖演算法構建的支持向量機用於貨幣識別，充分發抨了支持向量機解決小樣本、非線性和高維模式識別問題的優點。
  12. The compare is made between the one - versus - one, one - versus - rest and directed acyclic graph algorithm of presented support vector machine multi - class classification algorithms. the simulations show the advantage of directed acyclic graph algorithm over the others the identification rate

    分析比較了現有支持向量機多值分類演算法中的一對一、一對多和有向無環圖演算法，分析表明有向無環圖相對于其它兩種演算法，不僅速度快，而且識別率也較高。
  13. A method of face detection based on support vector machine ( svm ) is put forward. the features are extracted by applying the discrete cosine transform ( dct ) to the preprocessing image. the dct coefficients are inputted to the svm and the svm are trained using the cropped face samples and the " bootstrapping non - face " samples

    對預處理后的圖像進行離散餘弦變換提取特徵，取dct系數作為支持向量機的輸入，將經過裁剪的「人臉」樣本與「自舉」方法得到的「非人臉」樣本一起用來訓練支持向量機。
  14. First, the characteristic of flight segment volume is analyzed, existing model selection method is discussed, forecasting model selection method based on support vector machine is described

    首先，本文分析了航段運量特點，討論了現有模型選擇方法，在此基礎上闡明了基於支持向量機的航段運量預測模型選擇方法。
  15. This thesis systematically analyzes the characteristic of flight segment volume and existing model selection method, and discusses theory and algorithm of support vector machine in details, makes research on model selection in forecasting of flight segment volume combined with support vector machine

    本文系統地分析了航段運量的特點及現有的模型選擇方法，詳細探討了支持向量機相關理論和演算法，結合支持向量機對航段運量預測模型選擇方法進行了深入研究。
  16. Natural gas load forecasting based on least squares support vector machine

    基於最小二乘支持向量機的天然氣負荷預測
  17. Recognition system of using support vector machine

    基於支持向量機的手寫體數字識別
  18. Study of support vector machine and its improved algorithms

    支持向量機在早期癌癥檢測中的應用
  19. This thesis studies the support vector machine and multi - class classification in the statistical learning theory, and applies the support vector machine into the machine paper currency recognition

    本文主要研究了統計學習理論中支持向量機的二次優化演算法和多值分類，並將支持向量機應用於貨幣的機器識別中。
  20. Optimization of compositions of ground ti - bearing slag cementing material by support vector machine

    支持向量機演算法優化鈦礦渣膠凝材料組成研究
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